Overview

Dataset statistics

Number of variables29
Number of observations131
Missing cells130
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.8 KiB
Average record size in memory233.0 B

Variable types

Numeric9
Categorical20

Alerts

airdate has constant value "2020-12-11" Constant
url has a high cardinality: 131 distinct values High cardinality
name has a high cardinality: 119 distinct values High cardinality
image has a high cardinality: 61 distinct values High cardinality
_embedded_show_url has a high cardinality: 65 distinct values High cardinality
_embedded_show_name has a high cardinality: 65 distinct values High cardinality
_embedded_show_officialSite has a high cardinality: 58 distinct values High cardinality
_embedded_show_summary has a high cardinality: 58 distinct values High cardinality
_links_self_href has a high cardinality: 131 distinct values High cardinality
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
season is highly correlated with number and 2 other fieldsHigh correlation
number is highly correlated with seasonHigh correlation
runtime is highly correlated with season and 2 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with season and 2 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with _embedded_show_ended and 14 other fieldsHigh correlation
_embedded_show_ended is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_embedded_show_name is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
summary is highly correlated with type and 2 other fieldsHigh correlation
_embedded_show_summary is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
_embedded_show_genres is highly correlated with _embedded_show_officialSite and 12 other fieldsHigh correlation
type is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_type is highly correlated with _embedded_show_officialSite and 6 other fieldsHigh correlation
airdate is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
airtime is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_status is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
image is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
_embedded_show_url is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
_embedded_show_language is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with _embedded_show_officialSite and 7 other fieldsHigh correlation
airstamp is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
id is highly correlated with number and 18 other fieldsHigh correlation
season is highly correlated with number and 11 other fieldsHigh correlation
number is highly correlated with id and 14 other fieldsHigh correlation
type is highly correlated with image and 10 other fieldsHigh correlation
airtime is highly correlated with id and 17 other fieldsHigh correlation
airstamp is highly correlated with id and 18 other fieldsHigh correlation
runtime is highly correlated with id and 19 other fieldsHigh correlation
image is highly correlated with id and 23 other fieldsHigh correlation
summary is highly correlated with type and 3 other fieldsHigh correlation
_embedded_show_id is highly correlated with id and 19 other fieldsHigh correlation
_embedded_show_url is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_name is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_type is highly correlated with id and 20 other fieldsHigh correlation
_embedded_show_language is highly correlated with id and 20 other fieldsHigh correlation
_embedded_show_genres is highly correlated with id and 20 other fieldsHigh correlation
_embedded_show_status is highly correlated with id and 18 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with season and 19 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with id and 19 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_ended is highly correlated with id and 16 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_weight is highly correlated with id and 18 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with image and 6 other fieldsHigh correlation
_embedded_show_summary is highly correlated with id and 22 other fieldsHigh correlation
_embedded_show_updated is highly correlated with id and 17 other fieldsHigh correlation
number has 3 (2.3%) missing values Missing
runtime has 13 (9.9%) missing values Missing
image has 70 (53.4%) missing values Missing
_embedded_show_runtime has 33 (25.2%) missing values Missing
_embedded_show_averageRuntime has 11 (8.4%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
image is uniformly distributed Uniform
_links_self_href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links_self_href has unique values Unique

Reproduction

Analysis started2022-05-10 02:07:39.986310
Analysis finished2022-05-10 02:08:45.249771
Duration1 minute and 5.26 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1996852.489
Minimum1910447
Maximum2188584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:08:45.318920image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1910447
5-th percentile1959985
Q11976640.5
median1985467
Q31995066.5
95-th percentile2055650.5
Maximum2188584
Range278137
Interquartile range (IQR)18426

Descriptive statistics

Standard deviation42006.71822
Coefficient of variation (CV)0.02103646537
Kurtosis7.932941877
Mean1996852.489
Median Absolute Deviation (MAD)9597
Skewness2.405965582
Sum261587676
Variance1764564376
MonotonicityNot monotonic
2022-05-09T21:08:45.472588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19681131
 
0.8%
19589661
 
0.8%
19645711
 
0.8%
19787881
 
0.8%
19769441
 
0.8%
19400401
 
0.8%
19400391
 
0.8%
19844621
 
0.8%
19793091
 
0.8%
19694881
 
0.8%
Other values (121)121
92.4%
ValueCountFrequency (%)
19104471
0.8%
19248891
0.8%
19400391
0.8%
19400401
0.8%
19452621
0.8%
19496351
0.8%
19589661
0.8%
19610041
0.8%
19640181
0.8%
19645711
0.8%
ValueCountFrequency (%)
21885841
0.8%
21820821
0.8%
21761281
0.8%
21327091
0.8%
20821741
0.8%
20802241
0.8%
20556511
0.8%
20556501
0.8%
20556491
0.8%
20556481
0.8%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://www.tvmaze.com/episodes/1968113/po-sezonu-videodajdzest-seasonvar-6x50-vypusk-304
 
1
https://www.tvmaze.com/episodes/1958966/begin-again-1x35-episode-35
 
1
https://www.tvmaze.com/episodes/1964571/qin-xia-1x10-episode-10
 
1
https://www.tvmaze.com/episodes/1978788/taynew-meal-date-s01-special-taynew-meal-date-special
 
1
https://www.tvmaze.com/episodes/1976944/let-me-off-the-earth-1x14-feeling-left-out-in-a-friend-group-of-three
 
1
Other values (126)
126 

Length

Max length174
Median length101
Mean length78.84732824
Min length58

Characters and Unicode

Total characters10329
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1968113/po-sezonu-videodajdzest-seasonvar-6x50-vypusk-304
2nd rowhttps://www.tvmaze.com/episodes/1961004/cuma-2x07-seria-13
3rd rowhttps://www.tvmaze.com/episodes/1976572/zakon-i-besporyadok-1x05-seria-5
4th rowhttps://www.tvmaze.com/episodes/1986873/kotiki-1x10-seria-10
5th rowhttps://www.tvmaze.com/episodes/2030151/fox-spirit-matchmaker-9x01-episode-122

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1968113/po-sezonu-videodajdzest-seasonvar-6x50-vypusk-3041
 
0.8%
https://www.tvmaze.com/episodes/1958966/begin-again-1x35-episode-351
 
0.8%
https://www.tvmaze.com/episodes/1964571/qin-xia-1x10-episode-101
 
0.8%
https://www.tvmaze.com/episodes/1978788/taynew-meal-date-s01-special-taynew-meal-date-special1
 
0.8%
https://www.tvmaze.com/episodes/1976944/let-me-off-the-earth-1x14-feeling-left-out-in-a-friend-group-of-three1
 
0.8%
https://www.tvmaze.com/episodes/1940040/the-wonderful-world-of-mickey-mouse-1x08-an-ordinary-date1
 
0.8%
https://www.tvmaze.com/episodes/1940039/the-wonderful-world-of-mickey-mouse-1x07-the-brave-little-squire1
 
0.8%
https://www.tvmaze.com/episodes/1984462/crash-course-linguistics-1x12-language-acquisition1
 
0.8%
https://www.tvmaze.com/episodes/1979309/voksensmerter-1x05-miljo1
 
0.8%
https://www.tvmaze.com/episodes/1969488/discipline-2x05-grandam1
 
0.8%
Other values (121)121
92.4%

Length

2022-05-09T21:08:45.680864image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1968113/po-sezonu-videodajdzest-seasonvar-6x50-vypusk-3041
 
0.8%
https://www.tvmaze.com/episodes/2055645/triples-1x02-ex-factor1
 
0.8%
https://www.tvmaze.com/episodes/1976572/zakon-i-besporyadok-1x05-seria-51
 
0.8%
https://www.tvmaze.com/episodes/1986873/kotiki-1x10-seria-101
 
0.8%
https://www.tvmaze.com/episodes/2030151/fox-spirit-matchmaker-9x01-episode-1221
 
0.8%
https://www.tvmaze.com/episodes/2030152/fox-spirit-matchmaker-9x02-episode-1231
 
0.8%
https://www.tvmaze.com/episodes/1972563/the-wolf-1x21-episode-211
 
0.8%
https://www.tvmaze.com/episodes/1972564/the-wolf-1x22-episode-221
 
0.8%
https://www.tvmaze.com/episodes/1910447/the-founder-of-diabolism-q-1x21-a-tutorial1
 
0.8%
https://www.tvmaze.com/episodes/1998576/mr-right-is-here-1x05-episode-51
 
0.8%
Other values (121)121
92.4%

Most occurring characters

ValueCountFrequency (%)
e974
 
9.4%
-767
 
7.4%
s658
 
6.4%
/655
 
6.3%
t608
 
5.9%
o515
 
5.0%
w447
 
4.3%
a418
 
4.0%
i392
 
3.8%
p355
 
3.4%
Other values (30)4540
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7084
68.6%
Decimal Number1430
 
13.8%
Other Punctuation1048
 
10.1%
Dash Punctuation767
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e974
13.7%
s658
 
9.3%
t608
 
8.6%
o515
 
7.3%
w447
 
6.3%
a418
 
5.9%
i392
 
5.5%
p355
 
5.0%
m355
 
5.0%
d336
 
4.7%
Other values (16)2026
28.6%
Decimal Number
ValueCountFrequency (%)
1322
22.5%
0224
15.7%
9177
12.4%
2167
11.7%
8113
 
7.9%
593
 
6.5%
492
 
6.4%
783
 
5.8%
681
 
5.7%
378
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/655
62.5%
.262
 
25.0%
:131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-767
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7084
68.6%
Common3245
31.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e974
13.7%
s658
 
9.3%
t608
 
8.6%
o515
 
7.3%
w447
 
6.3%
a418
 
5.9%
i392
 
5.5%
p355
 
5.0%
m355
 
5.0%
d336
 
4.7%
Other values (16)2026
28.6%
Common
ValueCountFrequency (%)
-767
23.6%
/655
20.2%
1322
9.9%
.262
 
8.1%
0224
 
6.9%
9177
 
5.5%
2167
 
5.1%
:131
 
4.0%
8113
 
3.5%
593
 
2.9%
Other values (4)334
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII10329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e974
 
9.4%
-767
 
7.4%
s658
 
6.4%
/655
 
6.3%
t608
 
5.9%
o515
 
5.0%
w447
 
4.3%
a418
 
4.0%
i392
 
3.8%
p355
 
3.4%
Other values (30)4540
44.0%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct119
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Episode 2
 
4
Episode 4
 
3
Episode 10
 
2
Episode 22
 
2
Episode 11
 
2
Other values (114)
118 

Length

Max length99
Median length43
Mean length17.51145038
Min length5

Characters and Unicode

Total characters2294
Distinct characters113
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)84.0%

Sample

1st rowВыпуск 304
2nd rowСерия 13
3rd rowСерия 5
4th rowСерия 10
5th rowEpisode 122

Common Values

ValueCountFrequency (%)
Episode 24
 
3.1%
Episode 43
 
2.3%
Episode 102
 
1.5%
Episode 222
 
1.5%
Episode 112
 
1.5%
Episode 62
 
1.5%
Episode 52
 
1.5%
Episode 32
 
1.5%
Episode 212
 
1.5%
Day Three1
 
0.8%
Other values (109)109
83.2%

Length

2022-05-09T21:08:45.867047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode30
 
7.4%
the14
 
3.5%
day11
 
2.7%
a7
 
1.7%
26
 
1.5%
6
 
1.5%
44
 
1.0%
wedding4
 
1.0%
114
 
1.0%
64
 
1.0%
Other values (260)315
77.8%

Most occurring characters

ValueCountFrequency (%)
274
 
11.9%
e229
 
10.0%
a135
 
5.9%
i128
 
5.6%
o118
 
5.1%
r96
 
4.2%
s89
 
3.9%
d86
 
3.7%
n77
 
3.4%
l70
 
3.1%
Other values (103)992
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1510
65.8%
Uppercase Letter359
 
15.6%
Space Separator274
 
11.9%
Decimal Number95
 
4.1%
Other Punctuation36
 
1.6%
Dash Punctuation16
 
0.7%
Other Letter2
 
0.1%
Open Punctuation1
 
< 0.1%
Close Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e229
15.2%
a135
 
8.9%
i128
 
8.5%
o118
 
7.8%
r96
 
6.4%
s89
 
5.9%
d86
 
5.7%
n77
 
5.1%
l70
 
4.6%
t70
 
4.6%
Other values (39)412
27.3%
Uppercase Letter
ValueCountFrequency (%)
E47
 
13.1%
T41
 
11.4%
S27
 
7.5%
D25
 
7.0%
G19
 
5.3%
M16
 
4.5%
B15
 
4.2%
C14
 
3.9%
F14
 
3.9%
A13
 
3.6%
Other values (29)128
35.7%
Decimal Number
ValueCountFrequency (%)
231
32.6%
124
25.3%
012
 
12.6%
37
 
7.4%
66
 
6.3%
45
 
5.3%
55
 
5.3%
72
 
2.1%
92
 
2.1%
81
 
1.1%
Other Punctuation
ValueCountFrequency (%)
/8
22.2%
.7
19.4%
,6
16.7%
:5
13.9%
#3
 
8.3%
'2
 
5.6%
&2
 
5.6%
!2
 
5.6%
?1
 
2.8%
Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
274
100.0%
Dash Punctuation
ValueCountFrequency (%)
-16
100.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1782
77.7%
Common423
 
18.4%
Cyrillic87
 
3.8%
Han2
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e229
 
12.9%
a135
 
7.6%
i128
 
7.2%
o118
 
6.6%
r96
 
5.4%
s89
 
5.0%
d86
 
4.8%
n77
 
4.3%
l70
 
3.9%
t70
 
3.9%
Other values (44)684
38.4%
Cyrillic
ValueCountFrequency (%)
и8
 
9.2%
с6
 
6.9%
р6
 
6.9%
к6
 
6.9%
я5
 
5.7%
е5
 
5.7%
С5
 
5.7%
А5
 
5.7%
о4
 
4.6%
у3
 
3.4%
Other values (24)34
39.1%
Common
ValueCountFrequency (%)
274
64.8%
231
 
7.3%
124
 
5.7%
-16
 
3.8%
012
 
2.8%
/8
 
1.9%
.7
 
1.7%
37
 
1.7%
66
 
1.4%
,6
 
1.4%
Other values (13)32
 
7.6%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2197
95.8%
Cyrillic87
 
3.8%
None8
 
0.3%
CJK2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
 
12.5%
e229
 
10.4%
a135
 
6.1%
i128
 
5.8%
o118
 
5.4%
r96
 
4.4%
s89
 
4.1%
d86
 
3.9%
n77
 
3.5%
l70
 
3.2%
Other values (62)895
40.7%
Cyrillic
ValueCountFrequency (%)
и8
 
9.2%
с6
 
6.9%
р6
 
6.9%
к6
 
6.9%
я5
 
5.7%
е5
 
5.7%
С5
 
5.7%
А5
 
5.7%
о4
 
4.6%
у3
 
3.4%
Other values (24)34
39.1%
None
ValueCountFrequency (%)
í3
37.5%
ø2
25.0%
æ1
 
12.5%
Å1
 
12.5%
ó1
 
12.5%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct10
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.83206107
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:08:46.167308image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile10
Maximum2020
Range2019
Interquartile range (IQR)1

Descriptive statistics

Standard deviation388.1805915
Coefficient of variation (CV)4.924146168
Kurtosis22.11883674
Mean78.83206107
Median Absolute Deviation (MAD)0
Skewness4.876520205
Sum10327
Variance150684.1716
MonotonicityNot monotonic
2022-05-09T21:08:46.329629image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
194
71.8%
214
 
10.7%
38
 
6.1%
20205
 
3.8%
43
 
2.3%
92
 
1.5%
102
 
1.5%
61
 
0.8%
71
 
0.8%
181
 
0.8%
ValueCountFrequency (%)
194
71.8%
214
 
10.7%
38
 
6.1%
43
 
2.3%
61
 
0.8%
71
 
0.8%
92
 
1.5%
102
 
1.5%
181
 
0.8%
20205
 
3.8%
ValueCountFrequency (%)
20205
 
3.8%
181
 
0.8%
102
 
1.5%
92
 
1.5%
71
 
0.8%
61
 
0.8%
43
 
2.3%
38
 
6.1%
214
 
10.7%
194
71.8%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct38
Distinct (%)29.7%
Missing3
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean19.515625
Minimum1
Maximum338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:08:46.455131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q316.25
95-th percentile57.8
Maximum338
Range337
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation50.0513098
Coefficient of variation (CV)2.564678805
Kurtosis27.83524107
Mean19.515625
Median Absolute Deviation (MAD)4
Skewness5.200798817
Sum2498
Variance2505.133612
MonotonicityNot monotonic
2022-05-09T21:08:46.597614image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
214
 
10.7%
413
 
9.9%
511
 
8.4%
710
 
7.6%
39
 
6.9%
18
 
6.1%
68
 
6.1%
106
 
4.6%
86
 
4.6%
214
 
3.1%
Other values (28)39
29.8%
ValueCountFrequency (%)
18
6.1%
214
10.7%
39
6.9%
413
9.9%
511
8.4%
68
6.1%
710
7.6%
86
4.6%
92
 
1.5%
106
4.6%
ValueCountFrequency (%)
3381
0.8%
3001
0.8%
2991
0.8%
1921
0.8%
861
0.8%
641
0.8%
621
0.8%
501
0.8%
351
0.8%
312
1.5%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
regular
128 
insignificant_special
 
2
significant_special
 
1

Length

Max length21
Median length7
Mean length7.305343511
Min length7

Characters and Unicode

Total characters957
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular128
97.7%
insignificant_special2
 
1.5%
significant_special1
 
0.8%

Length

2022-05-09T21:08:46.815845image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:08:46.935699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
regular128
97.7%
insignificant_special2
 
1.5%
significant_special1
 
0.8%

Most occurring characters

ValueCountFrequency (%)
r256
26.8%
a134
14.0%
e131
13.7%
g131
13.7%
l131
13.7%
u128
13.4%
i14
 
1.5%
n8
 
0.8%
s6
 
0.6%
c6
 
0.6%
Other values (4)12
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter954
99.7%
Connector Punctuation3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r256
26.8%
a134
14.0%
e131
13.7%
g131
13.7%
l131
13.7%
u128
13.4%
i14
 
1.5%
n8
 
0.8%
s6
 
0.6%
c6
 
0.6%
Other values (3)9
 
0.9%
Connector Punctuation
ValueCountFrequency (%)
_3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin954
99.7%
Common3
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r256
26.8%
a134
14.0%
e131
13.7%
g131
13.7%
l131
13.7%
u128
13.4%
i14
 
1.5%
n8
 
0.8%
s6
 
0.6%
c6
 
0.6%
Other values (3)9
 
0.9%
Common
ValueCountFrequency (%)
_3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r256
26.8%
a134
14.0%
e131
13.7%
g131
13.7%
l131
13.7%
u128
13.4%
i14
 
1.5%
n8
 
0.8%
s6
 
0.6%
c6
 
0.6%
Other values (4)12
 
1.3%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-11
131 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1310
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-11
2nd row2020-12-11
3rd row2020-12-11
4th row2020-12-11
5th row2020-12-11

Common Values

ValueCountFrequency (%)
2020-12-11131
100.0%

Length

2022-05-09T21:08:47.119114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:08:47.248801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-11131
100.0%

Most occurring characters

ValueCountFrequency (%)
2393
30.0%
1393
30.0%
0262
20.0%
-262
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1048
80.0%
Dash Punctuation262
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2393
37.5%
1393
37.5%
0262
25.0%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2393
30.0%
1393
30.0%
0262
20.0%
-262
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2393
30.0%
1393
30.0%
0262
20.0%
-262
20.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct7
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
92 
12:00
20 
20:00
14 
06:00
 
2
18:00
 
1
Other values (2)
 
2

Length

Max length5
Median length3
Mean length3.595419847
Min length3

Characters and Unicode

Total characters471
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st rownan
2nd rownan
3rd row12:00
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan92
70.2%
12:0020
 
15.3%
20:0014
 
10.7%
06:002
 
1.5%
18:001
 
0.8%
21:001
 
0.8%
19:001
 
0.8%

Length

2022-05-09T21:08:47.367364image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:08:47.566529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan92
70.2%
12:0020
 
15.3%
20:0014
 
10.7%
06:002
 
1.5%
18:001
 
0.8%
21:001
 
0.8%
19:001
 
0.8%

Most occurring characters

ValueCountFrequency (%)
n184
39.1%
094
20.0%
a92
19.5%
:39
 
8.3%
235
 
7.4%
123
 
4.9%
62
 
0.4%
81
 
0.2%
91
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter276
58.6%
Decimal Number156
33.1%
Other Punctuation39
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
094
60.3%
235
 
22.4%
123
 
14.7%
62
 
1.3%
81
 
0.6%
91
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
n184
66.7%
a92
33.3%
Other Punctuation
ValueCountFrequency (%)
:39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin276
58.6%
Common195
41.4%

Most frequent character per script

Common
ValueCountFrequency (%)
094
48.2%
:39
20.0%
235
 
17.9%
123
 
11.8%
62
 
1.0%
81
 
0.5%
91
 
0.5%
Latin
ValueCountFrequency (%)
n184
66.7%
a92
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII471
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n184
39.1%
094
20.0%
a92
19.5%
:39
 
8.3%
235
 
7.4%
123
 
4.9%
62
 
0.4%
81
 
0.2%
91
 
0.2%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-11T12:00:00+00:00
66 
2020-12-11T06:30:00+00:00
25 
2020-12-11T11:00:00+00:00
13 
2020-12-11T04:00:00+00:00
10 
2020-12-11T10:00:00+00:00
Other values (3)

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3275
Distinct characters12
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-11T00:00:00+00:00
2nd row2020-12-11T00:00:00+00:00
3rd row2020-12-11T00:00:00+00:00
4th row2020-12-11T00:00:00+00:00
5th row2020-12-11T04:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-11T12:00:00+00:0066
50.4%
2020-12-11T06:30:00+00:0025
 
19.1%
2020-12-11T11:00:00+00:0013
 
9.9%
2020-12-11T04:00:00+00:0010
 
7.6%
2020-12-11T10:00:00+00:009
 
6.9%
2020-12-11T00:00:00+00:004
 
3.1%
2020-12-11T05:00:00+00:002
 
1.5%
2020-12-11T09:00:00+00:002
 
1.5%

Length

2022-05-09T21:08:47.736238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:08:47.852294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-11t12:00:00+00:0066
50.4%
2020-12-11t06:30:00+00:0025
 
19.1%
2020-12-11t11:00:00+00:0013
 
9.9%
2020-12-11t04:00:00+00:0010
 
7.6%
2020-12-11t10:00:00+00:009
 
6.9%
2020-12-11t00:00:00+00:004
 
3.1%
2020-12-11t05:00:00+00:002
 
1.5%
2020-12-11t09:00:00+00:002
 
1.5%

Most occurring characters

ValueCountFrequency (%)
01341
40.9%
1494
 
15.1%
2459
 
14.0%
:393
 
12.0%
-262
 
8.0%
T131
 
4.0%
+131
 
4.0%
625
 
0.8%
325
 
0.8%
410
 
0.3%
Other values (2)4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2358
72.0%
Other Punctuation393
 
12.0%
Dash Punctuation262
 
8.0%
Uppercase Letter131
 
4.0%
Math Symbol131
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
01341
56.9%
1494
 
20.9%
2459
 
19.5%
625
 
1.1%
325
 
1.1%
410
 
0.4%
52
 
0.1%
92
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:393
100.0%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%
Uppercase Letter
ValueCountFrequency (%)
T131
100.0%
Math Symbol
ValueCountFrequency (%)
+131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3144
96.0%
Latin131
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
01341
42.7%
1494
 
15.7%
2459
 
14.6%
:393
 
12.5%
-262
 
8.3%
+131
 
4.2%
625
 
0.8%
325
 
0.8%
410
 
0.3%
52
 
0.1%
Latin
ValueCountFrequency (%)
T131
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
01341
40.9%
1494
 
15.1%
2459
 
14.0%
:393
 
12.0%
-262
 
8.0%
T131
 
4.0%
+131
 
4.0%
625
 
0.8%
325
 
0.8%
410
 
0.3%
Other values (2)4
 
0.1%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct38
Distinct (%)32.2%
Missing13
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean34.76271186
Minimum5
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:08:48.043989image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.85
Q120
median32
Q345.75
95-th percentile58
Maximum120
Range115
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation20.74867021
Coefficient of variation (CV)0.5968656961
Kurtosis5.194509373
Mean34.76271186
Median Absolute Deviation (MAD)13
Skewness1.603554561
Sum4102
Variance430.5073157
MonotonicityNot monotonic
2022-05-09T21:08:48.223938image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2019
14.5%
4518
13.7%
5012
 
9.2%
309
 
6.9%
85
 
3.8%
105
 
3.8%
424
 
3.1%
1203
 
2.3%
253
 
2.3%
483
 
2.3%
Other values (28)37
28.2%
(Missing)13
 
9.9%
ValueCountFrequency (%)
51
 
0.8%
85
3.8%
92
 
1.5%
105
3.8%
111
 
0.8%
121
 
0.8%
142
 
1.5%
162
 
1.5%
172
 
1.5%
181
 
0.8%
ValueCountFrequency (%)
1203
 
2.3%
621
 
0.8%
601
 
0.8%
582
 
1.5%
571
 
0.8%
561
 
0.8%
551
 
0.8%
521
 
0.8%
5012
9.2%
491
 
0.8%

image
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct61
Distinct (%)100.0%
Missing70
Missing (%)53.4%
Memory size1.1 KiB
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720834.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720834.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720828.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720828.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720829.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720829.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720830.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720830.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720831.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720831.jpg'}
 
1
Other values (56)
56 

Length

Max length176
Median length176
Mean length176
Min length176

Characters and Unicode

Total characters10736
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/736863.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/736863.jpg'}
2nd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/714186.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/714186.jpg'}
3rd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726345.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726345.jpg'}
4th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/722471.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/722471.jpg'}
5th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/722703.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/722703.jpg'}

Common Values

ValueCountFrequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720834.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720834.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720828.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720828.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720829.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720829.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720830.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720830.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720831.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720831.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723954.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723954.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723718.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723718.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720821.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720821.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729310.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729310.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721618.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721618.jpg'}1
 
0.8%
Other values (51)51
38.9%
(Missing)70
53.4%

Length

2022-05-09T21:08:48.368758image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medium61
25.0%
original61
25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723213.jpg1
 
0.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/725875.jpg1
 
0.4%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725875.jpg1
 
0.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/725660.jpg1
 
0.4%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725660.jpg1
 
0.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/725006.jpg1
 
0.4%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725006.jpg1
 
0.4%
https://static.tvmaze.com/uploads/images/original_untouched/289/724661.jpg1
 
0.4%
Other values (114)114
46.7%

Most occurring characters

ValueCountFrequency (%)
/854
 
8.0%
a732
 
6.8%
t671
 
6.2%
m610
 
5.7%
i610
 
5.7%
s549
 
5.1%
e488
 
4.5%
'488
 
4.5%
o427
 
4.0%
p427
 
4.0%
Other values (28)4880
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7198
67.0%
Other Punctuation2013
 
18.8%
Decimal Number1098
 
10.2%
Space Separator183
 
1.7%
Connector Punctuation122
 
1.1%
Close Punctuation61
 
0.6%
Open Punctuation61
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a732
 
10.2%
t671
 
9.3%
m610
 
8.5%
i610
 
8.5%
s549
 
7.6%
e488
 
6.8%
o427
 
5.9%
p427
 
5.9%
g366
 
5.1%
c366
 
5.1%
Other values (9)1952
27.1%
Decimal Number
ValueCountFrequency (%)
2282
25.7%
8236
21.5%
7158
14.4%
088
 
8.0%
180
 
7.3%
974
 
6.7%
362
 
5.6%
646
 
4.2%
544
 
4.0%
428
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/854
42.4%
'488
24.2%
.366
18.2%
:244
 
12.1%
,61
 
3.0%
Space Separator
ValueCountFrequency (%)
183
100.0%
Connector Punctuation
ValueCountFrequency (%)
_122
100.0%
Close Punctuation
ValueCountFrequency (%)
}61
100.0%
Open Punctuation
ValueCountFrequency (%)
{61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7198
67.0%
Common3538
33.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/854
24.1%
'488
13.8%
.366
10.3%
2282
 
8.0%
:244
 
6.9%
8236
 
6.7%
183
 
5.2%
7158
 
4.5%
_122
 
3.4%
088
 
2.5%
Other values (9)517
14.6%
Latin
ValueCountFrequency (%)
a732
 
10.2%
t671
 
9.3%
m610
 
8.5%
i610
 
8.5%
s549
 
7.6%
e488
 
6.8%
o427
 
5.9%
p427
 
5.9%
g366
 
5.1%
c366
 
5.1%
Other values (9)1952
27.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII10736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/854
 
8.0%
a732
 
6.8%
t671
 
6.2%
m610
 
5.7%
i610
 
5.7%
s549
 
5.1%
e488
 
4.5%
'488
 
4.5%
o427
 
4.0%
p427
 
4.0%
Other values (28)4880
45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct41
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
91 
<p>To move against the Empire, the Mandalorian needs the help of an old enemy.<br /> </p>
 
1
<p>"I'm not leaving without you!" Our DCPL Friends, can they really get out of this danger?</p>
 
1
<p>Mickey dreams of being a knight, but when he is chosen to be Sir Mortimer's squire, he discovers his new boss's heroic reputation is a fairytale.<br /> </p>
 
1
<p>Mickey and Minnie attempt to make their ordinary dinner date into something extraordinary.</p>
 
1
Other values (36)
36 

Length

Max length609
Median length3
Mean length62.42748092
Min length3

Characters and Unicode

Total characters8178
Distinct characters67
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)30.5%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan91
69.5%
<p>To move against the Empire, the Mandalorian needs the help of an old enemy.<br /> </p>1
 
0.8%
<p>"I'm not leaving without you!" Our DCPL Friends, can they really get out of this danger?</p>1
 
0.8%
<p>Mickey dreams of being a knight, but when he is chosen to be Sir Mortimer's squire, he discovers his new boss's heroic reputation is a fairytale.<br /> </p>1
 
0.8%
<p>Mickey and Minnie attempt to make their ordinary dinner date into something extraordinary.</p>1
 
0.8%
<p>TayNew take an extra special meal date to Nakhon Pathom, a night market close to Bangkok where the duo try as many food stalls as they can.</p>1
 
0.8%
<p>Olivia is on a singular mission to be with Marcus and nothing will stand in her way. She and Wallace follow him - straight into the Piper's lair.</p>1
 
0.8%
<p>Raquel prepares to start her new job as a literature teacher at a high school grappling with intense drama and tragedy.</p><p><br /> </p>1
 
0.8%
<p>After her privacy is violated and being threatened, Raquel attempts to command respect from her students. Roi opens up to Viruca in his essays.</p><p><br /> </p>1
 
0.8%
<p>A guilt-ridden Raquel must decide how to respond to the blackmail involving her upcoming exam. Iago starts to get to know Viruca outside of class.</p><p><br /> </p>1
 
0.8%
Other values (31)31
 
23.7%

Length

2022-05-09T21:08:48.519642image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan91
 
6.7%
the87
 
6.4%
to48
 
3.5%
of36
 
2.6%
a34
 
2.5%
and33
 
2.4%
her21
 
1.5%
in17
 
1.2%
is15
 
1.1%
their13
 
1.0%
Other values (652)972
71.1%

Most occurring characters

ValueCountFrequency (%)
1224
15.0%
e750
 
9.2%
a604
 
7.4%
n570
 
7.0%
t564
 
6.9%
i477
 
5.8%
s446
 
5.5%
o411
 
5.0%
r394
 
4.8%
h332
 
4.1%
Other values (57)2406
29.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6261
76.6%
Space Separator1238
 
15.1%
Other Punctuation247
 
3.0%
Math Symbol214
 
2.6%
Uppercase Letter205
 
2.5%
Dash Punctuation12
 
0.1%
Decimal Number1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e750
12.0%
a604
9.6%
n570
 
9.1%
t564
 
9.0%
i477
 
7.6%
s446
 
7.1%
o411
 
6.6%
r394
 
6.3%
h332
 
5.3%
l237
 
3.8%
Other values (17)1476
23.6%
Uppercase Letter
ValueCountFrequency (%)
S21
 
10.2%
A20
 
9.8%
M19
 
9.3%
T18
 
8.8%
L16
 
7.8%
R15
 
7.3%
I15
 
7.3%
N9
 
4.4%
C8
 
3.9%
P8
 
3.9%
Other values (13)56
27.3%
Other Punctuation
ValueCountFrequency (%)
.80
32.4%
,63
25.5%
/58
23.5%
'32
 
13.0%
:7
 
2.8%
!2
 
0.8%
"2
 
0.8%
#1
 
0.4%
?1
 
0.4%
;1
 
0.4%
Space Separator
ValueCountFrequency (%)
1224
98.9%
 14
 
1.1%
Math Symbol
ValueCountFrequency (%)
<107
50.0%
>107
50.0%
Dash Punctuation
ValueCountFrequency (%)
-10
83.3%
2
 
16.7%
Decimal Number
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6466
79.1%
Common1712
 
20.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e750
11.6%
a604
 
9.3%
n570
 
8.8%
t564
 
8.7%
i477
 
7.4%
s446
 
6.9%
o411
 
6.4%
r394
 
6.1%
h332
 
5.1%
l237
 
3.7%
Other values (40)1681
26.0%
Common
ValueCountFrequency (%)
1224
71.5%
<107
 
6.2%
>107
 
6.2%
.80
 
4.7%
,63
 
3.7%
/58
 
3.4%
'32
 
1.9%
 14
 
0.8%
-10
 
0.6%
:7
 
0.4%
Other values (7)10
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII8161
99.8%
None15
 
0.2%
Punctuation2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1224
15.0%
e750
 
9.2%
a604
 
7.4%
n570
 
7.0%
t564
 
6.9%
i477
 
5.8%
s446
 
5.5%
o411
 
5.0%
r394
 
4.8%
h332
 
4.1%
Other values (54)2389
29.3%
None
ValueCountFrequency (%)
 14
93.3%
á1
 
6.7%
Punctuation
ValueCountFrequency (%)
2
100.0%

_embedded_show_id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct65
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46942.99237
Minimum7847
Maximum57953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:08:48.712429image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7847
5-th percentile20734
Q145987
median50467
Q352412.5
95-th percentile54381
Maximum57953
Range50106
Interquartile range (IQR)6425.5

Descriptive statistics

Standard deviation10119.11688
Coefficient of variation (CV)0.2155618201
Kurtosis5.571045081
Mean46942.99237
Median Absolute Deviation (MAD)2104
Skewness-2.397338322
Sum6149532
Variance102396526.4
MonotonicityNot monotonic
2022-05-09T21:08:49.010195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5046716
 
12.2%
3739010
 
7.6%
459878
 
6.1%
543818
 
6.1%
516538
 
6.1%
478817
 
5.3%
524514
 
3.1%
479122
 
1.5%
528062
 
1.5%
525712
 
1.5%
Other values (55)64
48.9%
ValueCountFrequency (%)
78471
 
0.8%
80351
 
0.8%
115022
 
1.5%
152502
 
1.5%
207342
 
1.5%
249631
 
0.8%
306061
 
0.8%
3739010
7.6%
381711
 
0.8%
389631
 
0.8%
ValueCountFrequency (%)
579531
 
0.8%
564331
 
0.8%
550191
 
0.8%
550161
 
0.8%
543818
6.1%
542181
 
0.8%
541121
 
0.8%
530721
 
0.8%
528062
 
1.5%
528001
 
0.8%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct65
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://www.tvmaze.com/shows/50467/bebaakee
16 
https://www.tvmaze.com/shows/37390/the-wilds
10 
https://www.tvmaze.com/shows/45987/eteros-ego-chamenes-psyches
 
8
https://www.tvmaze.com/shows/54381/triples
 
8
https://www.tvmaze.com/shows/51653/el-desorden-que-dejas
 
8
Other values (60)
81 

Length

Max length77
Median length61
Mean length50.2519084
Min length39

Characters and Unicode

Total characters6583
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)35.1%

Sample

1st rowhttps://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar
2nd rowhttps://www.tvmaze.com/shows/48402/cuma
3rd rowhttps://www.tvmaze.com/shows/52118/zakon-i-besporyadok
4th rowhttps://www.tvmaze.com/shows/52198/kotiki
5th rowhttps://www.tvmaze.com/shows/20734/fox-spirit-matchmaker

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/50467/bebaakee16
 
12.2%
https://www.tvmaze.com/shows/37390/the-wilds10
 
7.6%
https://www.tvmaze.com/shows/45987/eteros-ego-chamenes-psyches8
 
6.1%
https://www.tvmaze.com/shows/54381/triples8
 
6.1%
https://www.tvmaze.com/shows/51653/el-desorden-que-dejas8
 
6.1%
https://www.tvmaze.com/shows/47881/clifford-the-big-red-dog7
 
5.3%
https://www.tvmaze.com/shows/52451/the-burning-river4
 
3.1%
https://www.tvmaze.com/shows/47912/the-wolf2
 
1.5%
https://www.tvmaze.com/shows/52806/ultimate-note2
 
1.5%
https://www.tvmaze.com/shows/52571/lassemajas-detektivbyra2
 
1.5%
Other values (55)64
48.9%

Length

2022-05-09T21:08:49.270043image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/50467/bebaakee16
 
12.2%
https://www.tvmaze.com/shows/37390/the-wilds10
 
7.6%
https://www.tvmaze.com/shows/45987/eteros-ego-chamenes-psyches8
 
6.1%
https://www.tvmaze.com/shows/54381/triples8
 
6.1%
https://www.tvmaze.com/shows/51653/el-desorden-que-dejas8
 
6.1%
https://www.tvmaze.com/shows/47881/clifford-the-big-red-dog7
 
5.3%
https://www.tvmaze.com/shows/52451/the-burning-river4
 
3.1%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
1.5%
https://www.tvmaze.com/shows/50402/the-wonderful-world-of-mickey-mouse2
 
1.5%
https://www.tvmaze.com/shows/52782/mr-right-is-here2
 
1.5%
Other values (55)64
48.9%

Most occurring characters

ValueCountFrequency (%)
/655
 
9.9%
w552
 
8.4%
s524
 
8.0%
t494
 
7.5%
e425
 
6.5%
o379
 
5.8%
h339
 
5.1%
m314
 
4.8%
.262
 
4.0%
a250
 
3.8%
Other values (30)2389
36.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4670
70.9%
Other Punctuation1048
 
15.9%
Decimal Number653
 
9.9%
Dash Punctuation212
 
3.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w552
11.8%
s524
11.2%
t494
10.6%
e425
9.1%
o379
 
8.1%
h339
 
7.3%
m314
 
6.7%
a250
 
5.4%
c178
 
3.8%
p161
 
3.4%
Other values (16)1054
22.6%
Decimal Number
ValueCountFrequency (%)
5132
20.2%
478
11.9%
176
11.6%
761
9.3%
359
9.0%
059
9.0%
251
 
7.8%
850
 
7.7%
648
 
7.4%
939
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/655
62.5%
.262
 
25.0%
:131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4670
70.9%
Common1913
29.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w552
11.8%
s524
11.2%
t494
10.6%
e425
9.1%
o379
 
8.1%
h339
 
7.3%
m314
 
6.7%
a250
 
5.4%
c178
 
3.8%
p161
 
3.4%
Other values (16)1054
22.6%
Common
ValueCountFrequency (%)
/655
34.2%
.262
 
13.7%
-212
 
11.1%
5132
 
6.9%
:131
 
6.8%
478
 
4.1%
176
 
4.0%
761
 
3.2%
359
 
3.1%
059
 
3.1%
Other values (4)188
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII6583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/655
 
9.9%
w552
 
8.4%
s524
 
8.0%
t494
 
7.5%
e425
 
6.5%
o379
 
5.8%
h339
 
5.1%
m314
 
4.8%
.262
 
4.0%
a250
 
3.8%
Other values (30)2389
36.3%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct65
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Bebaakee
16 
The Wilds
10 
Έτερος Εγώ: Χαμένες Ψυχές
 
8
Triples
 
8
El desorden que dejas
 
8
Other values (60)
81 

Length

Max length44
Median length26
Mean length15.22900763
Min length5

Characters and Unicode

Total characters1995
Distinct characters105
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)35.1%

Sample

1st rowПо сезону. Видеодайджест Seasonvar
2nd rowЧума!
3rd rowZakon i Besporyadok
4th rowКотики
5th rowFox Spirit Matchmaker

Common Values

ValueCountFrequency (%)
Bebaakee16
 
12.2%
The Wilds10
 
7.6%
Έτερος Εγώ: Χαμένες Ψυχές8
 
6.1%
Triples8
 
6.1%
El desorden que dejas8
 
6.1%
Clifford the Big Red Dog7
 
5.3%
The Burning River4
 
3.1%
The Wolf2
 
1.5%
Ultimate Note2
 
1.5%
LasseMajas Detektivbyrå2
 
1.5%
Other values (55)64
48.9%

Length

2022-05-09T21:08:49.725846image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the33
 
9.7%
bebaakee16
 
4.7%
wilds10
 
2.9%
red8
 
2.3%
dejas8
 
2.3%
que8
 
2.3%
desorden8
 
2.3%
el8
 
2.3%
triples8
 
2.3%
ψυχές8
 
2.3%
Other values (140)226
66.3%

Most occurring characters

ValueCountFrequency (%)
e229
 
11.5%
210
 
10.5%
i104
 
5.2%
a100
 
5.0%
o89
 
4.5%
r83
 
4.2%
s82
 
4.1%
d70
 
3.5%
l69
 
3.5%
n66
 
3.3%
Other values (95)893
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1468
73.6%
Uppercase Letter296
 
14.8%
Space Separator210
 
10.5%
Other Punctuation19
 
1.0%
Dash Punctuation2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e229
15.6%
i104
 
7.1%
a100
 
6.8%
o89
 
6.1%
r83
 
5.7%
s82
 
5.6%
d70
 
4.8%
l69
 
4.7%
n66
 
4.5%
h54
 
3.7%
Other values (48)522
35.6%
Uppercase Letter
ValueCountFrequency (%)
T37
 
12.5%
B34
 
11.5%
W22
 
7.4%
M19
 
6.4%
D17
 
5.7%
R16
 
5.4%
S13
 
4.4%
C13
 
4.4%
L11
 
3.7%
E10
 
3.4%
Other values (32)104
35.1%
Other Punctuation
ValueCountFrequency (%)
:13
68.4%
!3
 
15.8%
.3
 
15.8%
Space Separator
ValueCountFrequency (%)
210
100.0%
Dash Punctuation
ValueCountFrequency (%)
-2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1536
77.0%
Common231
 
11.6%
Greek168
 
8.4%
Cyrillic60
 
3.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e229
 
14.9%
i104
 
6.8%
a100
 
6.5%
o89
 
5.8%
r83
 
5.4%
s82
 
5.3%
d70
 
4.6%
l69
 
4.5%
n66
 
4.3%
h54
 
3.5%
Other values (45)590
38.4%
Cyrillic
ValueCountFrequency (%)
и6
 
10.0%
о5
 
8.3%
е5
 
8.3%
а5
 
8.3%
д5
 
8.3%
с4
 
6.7%
к3
 
5.0%
т2
 
3.3%
м2
 
3.3%
р2
 
3.3%
Other values (18)21
35.0%
Greek
ValueCountFrequency (%)
ς24
14.3%
έ16
 
9.5%
ε16
 
9.5%
ν8
 
4.8%
γ8
 
4.8%
τ8
 
4.8%
Χ8
 
4.8%
α8
 
4.8%
μ8
 
4.8%
Ε8
 
4.8%
Other values (7)56
33.3%
Common
ValueCountFrequency (%)
210
90.9%
:13
 
5.6%
!3
 
1.3%
.3
 
1.3%
-2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1758
88.1%
None177
 
8.9%
Cyrillic60
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e229
 
13.0%
210
 
11.9%
i104
 
5.9%
a100
 
5.7%
o89
 
5.1%
r83
 
4.7%
s82
 
4.7%
d70
 
4.0%
l69
 
3.9%
n66
 
3.8%
Other values (46)656
37.3%
None
ValueCountFrequency (%)
ς24
 
13.6%
έ16
 
9.0%
ε16
 
9.0%
ν8
 
4.5%
γ8
 
4.5%
τ8
 
4.5%
Χ8
 
4.5%
α8
 
4.5%
μ8
 
4.5%
Ε8
 
4.5%
Other values (11)65
36.7%
Cyrillic
ValueCountFrequency (%)
и6
 
10.0%
о5
 
8.3%
е5
 
8.3%
а5
 
8.3%
д5
 
8.3%
с4
 
6.7%
к3
 
5.0%
т2
 
3.3%
м2
 
3.3%
р2
 
3.3%
Other values (18)21
35.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Scripted
93 
Animation
16 
Documentary
 
8
Reality
 
5
Talk Show
 
4
Other values (3)
 
5

Length

Max length11
Median length8
Mean length8.20610687
Min length4

Characters and Unicode

Total characters1075
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st rowTalk Show
2nd rowScripted
3rd rowScripted
4th rowScripted
5th rowAnimation

Common Values

ValueCountFrequency (%)
Scripted93
71.0%
Animation16
 
12.2%
Documentary8
 
6.1%
Reality5
 
3.8%
Talk Show4
 
3.1%
Variety2
 
1.5%
News2
 
1.5%
Sports1
 
0.8%

Length

2022-05-09T21:08:49.981906image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:08:50.262443image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
scripted93
68.9%
animation16
 
11.9%
documentary8
 
5.9%
reality5
 
3.7%
talk4
 
3.0%
show4
 
3.0%
variety2
 
1.5%
news2
 
1.5%
sports1
 
0.7%

Most occurring characters

ValueCountFrequency (%)
i132
12.3%
t125
11.6%
e110
10.2%
r104
9.7%
c101
9.4%
S98
9.1%
p94
8.7%
d93
8.7%
n40
 
3.7%
a35
 
3.3%
Other values (16)143
13.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter936
87.1%
Uppercase Letter135
 
12.6%
Space Separator4
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i132
14.1%
t125
13.4%
e110
11.8%
r104
11.1%
c101
10.8%
p94
10.0%
d93
9.9%
n40
 
4.3%
a35
 
3.7%
o29
 
3.1%
Other values (8)73
7.8%
Uppercase Letter
ValueCountFrequency (%)
S98
72.6%
A16
 
11.9%
D8
 
5.9%
R5
 
3.7%
T4
 
3.0%
V2
 
1.5%
N2
 
1.5%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1071
99.6%
Common4
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i132
12.3%
t125
11.7%
e110
10.3%
r104
9.7%
c101
9.4%
S98
9.2%
p94
8.8%
d93
8.7%
n40
 
3.7%
a35
 
3.3%
Other values (15)139
13.0%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i132
12.3%
t125
11.6%
e110
10.2%
r104
9.7%
c101
9.4%
S98
9.1%
p94
8.7%
d93
8.7%
n40
 
3.7%
a35
 
3.3%
Other values (16)143
13.3%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct18
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
English
28 
Chinese
22 
Hindi
17 
Spanish
11 
Norwegian
Other values (13)
44 

Length

Max length10
Median length7
Mean length6.473282443
Min length4

Characters and Unicode

Total characters848
Distinct characters33
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)3.8%

Sample

1st rowRussian
2nd rowRussian
3rd rowRussian
4th rowRussian
5th rowChinese

Common Values

ValueCountFrequency (%)
English28
21.4%
Chinese22
16.8%
Hindi17
13.0%
Spanish11
 
8.4%
Norwegian9
 
6.9%
Tamil8
 
6.1%
Greek8
 
6.1%
Korean8
 
6.1%
Russian6
 
4.6%
Thai3
 
2.3%
Other values (8)11
 
8.4%

Length

2022-05-09T21:08:50.487677image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english28
21.4%
chinese22
16.8%
hindi17
13.0%
spanish11
 
8.4%
norwegian9
 
6.9%
tamil8
 
6.1%
greek8
 
6.1%
korean8
 
6.1%
russian6
 
4.6%
thai3
 
2.3%
Other values (8)11
 
8.4%

Most occurring characters

ValueCountFrequency (%)
i123
14.5%
n104
12.3%
e85
10.0%
s77
 
9.1%
h69
 
8.1%
a54
 
6.4%
g42
 
5.0%
l39
 
4.6%
E28
 
3.3%
r28
 
3.3%
Other values (23)199
23.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter717
84.6%
Uppercase Letter131
 
15.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i123
17.2%
n104
14.5%
e85
11.9%
s77
10.7%
h69
9.6%
a54
7.5%
g42
 
5.9%
l39
 
5.4%
r28
 
3.9%
o20
 
2.8%
Other values (9)76
10.6%
Uppercase Letter
ValueCountFrequency (%)
E28
21.4%
C22
16.8%
H17
13.0%
T13
9.9%
S13
9.9%
N9
 
6.9%
G9
 
6.9%
K8
 
6.1%
R6
 
4.6%
D2
 
1.5%
Other values (4)4
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Latin848
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i123
14.5%
n104
12.3%
e85
10.0%
s77
 
9.1%
h69
 
8.1%
a54
 
6.4%
g42
 
5.0%
l39
 
4.6%
E28
 
3.3%
r28
 
3.3%
Other values (23)199
23.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i123
14.5%
n104
12.3%
e85
10.0%
s77
 
9.1%
h69
 
8.1%
a54
 
6.4%
g42
 
5.0%
l39
 
4.6%
E28
 
3.3%
r28
 
3.3%
Other values (23)199
23.5%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct36
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
[]
20 
['Drama', 'Romance']
20 
['Drama', 'Thriller', 'Mystery']
18 
['Comedy', 'Children']
['Crime', 'Horror', 'Thriller']
Other values (31)
56 

Length

Max length46
Median length41
Mean length21.81679389
Min length2

Characters and Unicode

Total characters2858
Distinct characters32
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)14.5%

Sample

1st row[]
2nd row['Comedy']
3rd row['Comedy', 'Action', 'Crime']
4th row['Comedy']
5th row['Comedy', 'Anime', 'Fantasy', 'Romance']

Common Values

ValueCountFrequency (%)
[]20
15.3%
['Drama', 'Romance']20
15.3%
['Drama', 'Thriller', 'Mystery']18
13.7%
['Comedy', 'Children']9
 
6.9%
['Crime', 'Horror', 'Thriller']8
 
6.1%
['Comedy']7
 
5.3%
['Drama', 'Comedy', 'Romance']6
 
4.6%
['Drama', 'Action', 'Thriller']4
 
3.1%
['Drama', 'Comedy']3
 
2.3%
['Music']3
 
2.3%
Other values (26)33
25.2%

Length

2022-05-09T21:08:50.648516image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
drama69
23.5%
comedy34
11.6%
romance33
11.3%
thriller31
10.6%
20
 
6.8%
mystery20
 
6.8%
crime14
 
4.8%
children12
 
4.1%
action10
 
3.4%
horror9
 
3.1%
Other values (12)41
14.0%

Most occurring characters

ValueCountFrequency (%)
'546
19.1%
r221
 
7.7%
a192
 
6.7%
e166
 
5.8%
m162
 
5.7%
,162
 
5.7%
162
 
5.7%
[131
 
4.6%
]131
 
4.6%
o104
 
3.6%
Other values (22)881
30.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1451
50.8%
Other Punctuation708
24.8%
Uppercase Letter274
 
9.6%
Space Separator162
 
5.7%
Open Punctuation131
 
4.6%
Close Punctuation131
 
4.6%
Dash Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r221
15.2%
a192
13.2%
e166
11.4%
m162
11.2%
o104
7.2%
i96
6.6%
y88
 
6.1%
l84
 
5.8%
n75
 
5.2%
c55
 
3.8%
Other values (7)208
14.3%
Uppercase Letter
ValueCountFrequency (%)
D69
25.2%
C60
21.9%
R33
12.0%
T32
11.7%
M29
10.6%
A21
 
7.7%
H14
 
5.1%
F11
 
4.0%
S5
 
1.8%
Other Punctuation
ValueCountFrequency (%)
'546
77.1%
,162
 
22.9%
Space Separator
ValueCountFrequency (%)
162
100.0%
Open Punctuation
ValueCountFrequency (%)
[131
100.0%
Close Punctuation
ValueCountFrequency (%)
]131
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1725
60.4%
Common1133
39.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
r221
12.8%
a192
11.1%
e166
 
9.6%
m162
 
9.4%
o104
 
6.0%
i96
 
5.6%
y88
 
5.1%
l84
 
4.9%
n75
 
4.3%
D69
 
4.0%
Other values (16)468
27.1%
Common
ValueCountFrequency (%)
'546
48.2%
,162
 
14.3%
162
 
14.3%
[131
 
11.6%
]131
 
11.6%
-1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII2858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'546
19.1%
r221
 
7.7%
a192
 
6.7%
e166
 
5.8%
m162
 
5.7%
,162
 
5.7%
162
 
5.7%
[131
 
4.6%
]131
 
4.6%
o104
 
3.6%
Other values (22)881
30.8%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Ended
66 
Running
39 
To Be Determined
26 

Length

Max length16
Median length5
Mean length7.778625954
Min length5

Characters and Unicode

Total characters1019
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRunning
2nd rowEnded
3rd rowEnded
4th rowEnded
5th rowRunning

Common Values

ValueCountFrequency (%)
Ended66
50.4%
Running39
29.8%
To Be Determined26
 
19.8%

Length

2022-05-09T21:08:50.796612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:08:50.959868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
ended66
36.1%
running39
21.3%
to26
 
14.2%
be26
 
14.2%
determined26
 
14.2%

Most occurring characters

ValueCountFrequency (%)
n209
20.5%
e170
16.7%
d158
15.5%
E66
 
6.5%
i65
 
6.4%
52
 
5.1%
R39
 
3.8%
u39
 
3.8%
g39
 
3.8%
T26
 
2.6%
Other values (6)156
15.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter784
76.9%
Uppercase Letter183
 
18.0%
Space Separator52
 
5.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n209
26.7%
e170
21.7%
d158
20.2%
i65
 
8.3%
u39
 
5.0%
g39
 
5.0%
o26
 
3.3%
t26
 
3.3%
r26
 
3.3%
m26
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
E66
36.1%
R39
21.3%
T26
 
14.2%
B26
 
14.2%
D26
 
14.2%
Space Separator
ValueCountFrequency (%)
52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin967
94.9%
Common52
 
5.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n209
21.6%
e170
17.6%
d158
16.3%
E66
 
6.8%
i65
 
6.7%
R39
 
4.0%
u39
 
4.0%
g39
 
4.0%
T26
 
2.7%
o26
 
2.7%
Other values (5)130
13.4%
Common
ValueCountFrequency (%)
52
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n209
20.5%
e170
16.7%
d158
15.5%
E66
 
6.5%
i65
 
6.4%
52
 
5.1%
R39
 
3.8%
u39
 
3.8%
g39
 
3.8%
T26
 
2.6%
Other values (6)156
15.3%

_embedded_show_runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct21
Distinct (%)21.4%
Missing33
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean33.55102041
Minimum5
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:08:51.083624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q120
median30
Q345
95-th percentile50
Maximum120
Range115
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.39617581
Coefficient of variation (CV)0.6377205684
Kurtosis6.107361233
Mean33.55102041
Median Absolute Deviation (MAD)15
Skewness1.87827266
Sum3288
Variance457.7963392
MonotonicityNot monotonic
2022-05-09T21:08:51.302837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4525
19.1%
2018
13.7%
5011
 
8.4%
3010
 
7.6%
109
 
6.9%
155
 
3.8%
1203
 
2.3%
252
 
1.5%
82
 
1.5%
422
 
1.5%
Other values (11)11
 
8.4%
(Missing)33
25.2%
ValueCountFrequency (%)
51
 
0.8%
82
 
1.5%
91
 
0.8%
109
6.9%
111
 
0.8%
121
 
0.8%
141
 
0.8%
155
 
3.8%
2018
13.7%
211
 
0.8%
ValueCountFrequency (%)
1203
 
2.3%
601
 
0.8%
5011
8.4%
481
 
0.8%
4525
19.1%
422
 
1.5%
401
 
0.8%
351
 
0.8%
3010
 
7.6%
252
 
1.5%

_embedded_show_averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct30
Distinct (%)25.0%
Missing11
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean34.80833333
Minimum5
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:08:51.491133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9.95
Q120
median34.5
Q346
95-th percentile54
Maximum120
Range115
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.12410897
Coefficient of variation (CV)0.5781405498
Kurtosis4.060176063
Mean34.80833333
Median Absolute Deviation (MAD)14.5
Skewness1.309691807
Sum4177
Variance404.9797619
MonotonicityNot monotonic
2022-05-09T21:08:51.654857image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2018
13.7%
4516
12.2%
5412
 
9.2%
5011
 
8.4%
469
 
6.9%
308
 
6.1%
105
 
3.8%
124
 
3.1%
254
 
3.1%
113
 
2.3%
Other values (20)30
22.9%
(Missing)11
 
8.4%
ValueCountFrequency (%)
51
 
0.8%
71
 
0.8%
82
 
1.5%
92
 
1.5%
105
3.8%
113
2.3%
124
3.1%
142
 
1.5%
151
 
0.8%
161
 
0.8%
ValueCountFrequency (%)
1202
 
1.5%
971
 
0.8%
601
 
0.8%
5412
9.2%
5011
8.4%
482
 
1.5%
469
6.9%
4516
12.2%
422
 
1.5%
403
 
2.3%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct48
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-11
31 
2020-08-30
16 
2020-12-04
2019-06-16
2019-12-06
Other values (43)
61 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1310
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)23.7%

Sample

1st row2015-02-13
2nd row2020-05-29
3rd row2020-11-27
4th row2020-11-30
5th row2015-06-26

Common Values

ValueCountFrequency (%)
2020-12-1131
23.7%
2020-08-3016
 
12.2%
2020-12-048
 
6.1%
2019-06-168
 
6.1%
2019-12-067
 
5.3%
2020-12-105
 
3.8%
2020-11-194
 
3.1%
2020-11-273
 
2.3%
2020-12-062
 
1.5%
2012-01-282
 
1.5%
Other values (38)45
34.4%

Length

2022-05-09T21:08:51.812517image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-1131
23.7%
2020-08-3016
 
12.2%
2020-12-048
 
6.1%
2019-06-168
 
6.1%
2019-12-067
 
5.3%
2020-12-105
 
3.8%
2020-11-194
 
3.1%
2020-11-273
 
2.3%
2019-11-122
 
1.5%
2015-06-262
 
1.5%
Other values (38)45
34.4%

Most occurring characters

ValueCountFrequency (%)
0329
25.1%
2311
23.7%
-262
20.0%
1252
19.2%
934
 
2.6%
633
 
2.5%
829
 
2.2%
325
 
1.9%
419
 
1.5%
59
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1048
80.0%
Dash Punctuation262
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0329
31.4%
2311
29.7%
1252
24.0%
934
 
3.2%
633
 
3.1%
829
 
2.8%
325
 
2.4%
419
 
1.8%
59
 
0.9%
77
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0329
25.1%
2311
23.7%
-262
20.0%
1252
19.2%
934
 
2.6%
633
 
2.5%
829
 
2.2%
325
 
1.9%
419
 
1.5%
59
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0329
25.1%
2311
23.7%
-262
20.0%
1252
19.2%
934
 
2.6%
633
 
2.5%
829
 
2.2%
325
 
1.9%
419
 
1.5%
59
 
0.7%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct22
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
65 
2020-12-11
35 
2020-12-18
 
4
2020-12-25
 
4
2021-01-22
 
2
Other values (17)
21 

Length

Max length10
Median length10
Mean length6.526717557
Min length3

Characters and Unicode

Total characters855
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)9.9%

Sample

1st rownan
2nd row2020-12-18
3rd row2020-12-11
4th row2020-12-11
5th rownan

Common Values

ValueCountFrequency (%)
nan65
49.6%
2020-12-1135
26.7%
2020-12-184
 
3.1%
2020-12-254
 
3.1%
2021-01-222
 
1.5%
2021-01-042
 
1.5%
2021-01-022
 
1.5%
2021-01-142
 
1.5%
2020-12-172
 
1.5%
2021-01-051
 
0.8%
Other values (12)12
 
9.2%

Length

2022-05-09T21:08:51.961415image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan65
49.6%
2020-12-1135
26.7%
2020-12-184
 
3.1%
2020-12-254
 
3.1%
2021-01-222
 
1.5%
2021-01-042
 
1.5%
2021-01-022
 
1.5%
2021-01-142
 
1.5%
2020-12-172
 
1.5%
2021-01-011
 
0.8%
Other values (12)12
 
9.2%

Most occurring characters

ValueCountFrequency (%)
2197
23.0%
1163
19.1%
0143
16.7%
-132
15.4%
n130
15.2%
a65
 
7.6%
57
 
0.8%
86
 
0.7%
46
 
0.7%
72
 
0.2%
Other values (3)4
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number528
61.8%
Lowercase Letter195
 
22.8%
Dash Punctuation132
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2197
37.3%
1163
30.9%
0143
27.1%
57
 
1.3%
86
 
1.1%
46
 
1.1%
72
 
0.4%
32
 
0.4%
91
 
0.2%
61
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
n130
66.7%
a65
33.3%
Dash Punctuation
ValueCountFrequency (%)
-132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common660
77.2%
Latin195
 
22.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2197
29.8%
1163
24.7%
0143
21.7%
-132
20.0%
57
 
1.1%
86
 
0.9%
46
 
0.9%
72
 
0.3%
32
 
0.3%
91
 
0.2%
Latin
ValueCountFrequency (%)
n130
66.7%
a65
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII855
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2197
23.0%
1163
19.1%
0143
16.7%
-132
15.4%
n130
15.2%
a65
 
7.6%
57
 
0.8%
86
 
0.7%
46
 
0.7%
72
 
0.2%
Other values (3)4
 
0.5%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct58
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
24 
https://www.zee5.com/zee5originals/details/bebaakee/0-6-2909
16 
https://www.amazon.com/dp/B08NMC79YB/
10 
https://www.netflix.com/title/81033361
https://www.amazon.com/gp/video/detail/B086HWFFCS/
Other values (53)
66 

Length

Max length250
Median length89
Mean length46.35877863
Min length3

Characters and Unicode

Total characters6073
Distinct characters73
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)32.1%

Sample

1st rowhttp://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html
2nd rowhttps://www.ivi.ru/watch/chuma-2020
3rd rowhttps://www.ivi.ru/watch/zakon-i-besporyadok
4th rowhttp://epic-media.ru/project/kotiki
5th rowhttp://www.bilibili.com/bangumi/%E7%8B%90%E5%A6%96%E5%B0%8F%E7%BA%A2%E5%A8%98/

Common Values

ValueCountFrequency (%)
nan24
18.3%
https://www.zee5.com/zee5originals/details/bebaakee/0-6-290916
 
12.2%
https://www.amazon.com/dp/B08NMC79YB/10
 
7.6%
https://www.netflix.com/title/810333618
 
6.1%
https://www.amazon.com/gp/video/detail/B086HWFFCS/7
 
5.3%
https://v.youku.com/v_show/id_XNDk1MzY2NzgwNA==.html?spm=a2h0c.8166622.PhoneSokuProgram_1.dtitle&s=aaed627feea749d7a99d4
 
3.1%
https://www.tytnetwork.com2
 
1.5%
https://www.cmore.se/serie/208411-lassemajas-detektivbyra2
 
1.5%
https://www.iqiyi.com/a_nvzsmw0tgx.html2
 
1.5%
http://www.bilibili.com/bangumi/%E7%8B%90%E5%A6%96%E5%B0%8F%E7%BA%A2%E5%A8%98/2
 
1.5%
Other values (48)54
41.2%

Length

2022-05-09T21:08:52.156176image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan24
18.3%
https://www.zee5.com/zee5originals/details/bebaakee/0-6-290916
 
12.2%
https://www.amazon.com/dp/b08nmc79yb10
 
7.6%
https://www.netflix.com/title/810333618
 
6.1%
https://www.amazon.com/gp/video/detail/b086hwffcs7
 
5.3%
https://v.youku.com/v_show/id_xndk1mzy2nzgwna==.html?spm=a2h0c.8166622.phonesokuprogram_1.dtitle&s=aaed627feea749d7a99d4
 
3.1%
https://www.iq.com/play/1n40eysnffc2
 
1.5%
https://www.viki.com/tv/37486c-wish-you2
 
1.5%
https://v.qq.com/detail/m/mzc00200gbahyn5.html2
 
1.5%
https://play.tv2.no/programmer/underholdning/hver-gang-vi-moetes2
 
1.5%
Other values (48)54
41.2%

Most occurring characters

ValueCountFrequency (%)
/502
 
8.3%
t384
 
6.3%
e336
 
5.5%
w286
 
4.7%
a262
 
4.3%
s255
 
4.2%
o245
 
4.0%
.234
 
3.9%
i220
 
3.6%
m187
 
3.1%
Other values (63)3162
52.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3805
62.7%
Other Punctuation929
 
15.3%
Decimal Number778
 
12.8%
Uppercase Letter399
 
6.6%
Dash Punctuation97
 
1.6%
Math Symbol34
 
0.6%
Connector Punctuation31
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t384
 
10.1%
e336
 
8.8%
w286
 
7.5%
a262
 
6.9%
s255
 
6.7%
o245
 
6.4%
i220
 
5.8%
m187
 
4.9%
h179
 
4.7%
n174
 
4.6%
Other values (16)1277
33.6%
Uppercase Letter
ValueCountFrequency (%)
B43
 
10.8%
N34
 
8.5%
C28
 
7.0%
A24
 
6.0%
P24
 
6.0%
E23
 
5.8%
S23
 
5.8%
F22
 
5.5%
Y21
 
5.3%
M17
 
4.3%
Other values (16)140
35.1%
Decimal Number
ValueCountFrequency (%)
0123
15.8%
192
11.8%
991
11.7%
688
11.3%
281
10.4%
571
9.1%
869
8.9%
358
7.5%
757
7.3%
448
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/502
54.0%
.234
25.2%
:125
 
13.5%
%45
 
4.8%
?14
 
1.5%
&9
 
1.0%
Math Symbol
ValueCountFrequency (%)
=31
91.2%
+2
 
5.9%
~1
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
-97
100.0%
Connector Punctuation
ValueCountFrequency (%)
_31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4204
69.2%
Common1869
30.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t384
 
9.1%
e336
 
8.0%
w286
 
6.8%
a262
 
6.2%
s255
 
6.1%
o245
 
5.8%
i220
 
5.2%
m187
 
4.4%
h179
 
4.3%
n174
 
4.1%
Other values (42)1676
39.9%
Common
ValueCountFrequency (%)
/502
26.9%
.234
12.5%
:125
 
6.7%
0123
 
6.6%
-97
 
5.2%
192
 
4.9%
991
 
4.9%
688
 
4.7%
281
 
4.3%
571
 
3.8%
Other values (11)365
19.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII6073
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/502
 
8.3%
t384
 
6.3%
e336
 
5.5%
w286
 
4.7%
a262
 
4.3%
s255
 
4.2%
o245
 
4.0%
.234
 
3.9%
i220
 
3.6%
m187
 
3.1%
Other values (63)3162
52.1%

_embedded_show_weight
Real number (ℝ≥0)

HIGH CORRELATION

Distinct40
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.69465649
Minimum3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:08:52.446316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q118
median27
Q365
95-th percentile99
Maximum100
Range97
Interquartile range (IQR)47

Descriptive statistics

Standard deviation29.57777053
Coefficient of variation (CV)0.7643890195
Kurtosis-0.7663129313
Mean38.69465649
Median Absolute Deviation (MAD)19
Skewness0.7012063381
Sum5069
Variance874.8445097
MonotonicityNot monotonic
2022-05-09T21:08:52.622892image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1822
16.8%
9910
 
7.6%
658
 
6.1%
88
 
6.1%
738
 
6.1%
248
 
6.1%
57
 
5.3%
157
 
5.3%
35
 
3.8%
644
 
3.1%
Other values (30)44
33.6%
ValueCountFrequency (%)
35
 
3.8%
57
 
5.3%
72
 
1.5%
88
 
6.1%
101
 
0.8%
141
 
0.8%
157
 
5.3%
1822
16.8%
221
 
0.8%
231
 
0.8%
ValueCountFrequency (%)
1001
 
0.8%
9910
7.6%
901
 
0.8%
822
 
1.5%
791
 
0.8%
781
 
0.8%
738
6.1%
711
 
0.8%
671
 
0.8%
658
6.1%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
130 
{'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}
 
1

Length

Max length74
Median length3
Mean length3.541984733
Min length3

Characters and Unicode

Total characters464
Distinct characters27
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan130
99.2%
{'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}1
 
0.8%

Length

2022-05-09T21:08:52.782047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:08:52.948464image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan130
94.9%
name1
 
0.7%
russian1
 
0.7%
federation1
 
0.7%
code1
 
0.7%
ru1
 
0.7%
timezone1
 
0.7%
asia/kamchatka1
 
0.7%

Most occurring characters

ValueCountFrequency (%)
n264
56.9%
a137
29.5%
'12
 
2.6%
e6
 
1.3%
6
 
1.3%
i4
 
0.9%
m3
 
0.6%
:3
 
0.6%
o3
 
0.6%
s3
 
0.6%
Other values (17)23
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter432
93.1%
Other Punctuation18
 
3.9%
Space Separator6
 
1.3%
Uppercase Letter6
 
1.3%
Open Punctuation1
 
0.2%
Close Punctuation1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n264
61.1%
a137
31.7%
e6
 
1.4%
i4
 
0.9%
m3
 
0.7%
o3
 
0.7%
s3
 
0.7%
t3
 
0.7%
c2
 
0.5%
d2
 
0.5%
Other values (5)5
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
R2
33.3%
F1
16.7%
U1
16.7%
A1
16.7%
K1
16.7%
Other Punctuation
ValueCountFrequency (%)
'12
66.7%
:3
 
16.7%
,2
 
11.1%
/1
 
5.6%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
{1
100.0%
Close Punctuation
ValueCountFrequency (%)
}1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin438
94.4%
Common26
 
5.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n264
60.3%
a137
31.3%
e6
 
1.4%
i4
 
0.9%
m3
 
0.7%
o3
 
0.7%
s3
 
0.7%
t3
 
0.7%
c2
 
0.5%
d2
 
0.5%
Other values (10)11
 
2.5%
Common
ValueCountFrequency (%)
'12
46.2%
6
23.1%
:3
 
11.5%
,2
 
7.7%
{1
 
3.8%
/1
 
3.8%
}1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n264
56.9%
a137
29.5%
'12
 
2.6%
e6
 
1.3%
6
 
1.3%
i4
 
0.9%
m3
 
0.6%
:3
 
0.6%
o3
 
0.6%
s3
 
0.6%
Other values (17)23
 
5.0%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct58
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<p>Sufiyaan and Imtiaz are like brothers, and together they run one of the biggest media houses in Manali. But what will happen when they both fall for the same woman- Kainaat? And whom will she choose - a good friend or a bebaak lover?</p>
16 
nan
15 
<p>A group of teen girls from different backgrounds must fight for survival after a plane crash strands them on a deserted island. The castaways both clash and bond as they learn more about each other, the secrets they keep, and the traumas they've all endured. There's just one twist to this thrilling Drama - Coming of Age … these girls did not end up on this island by accident.</p>
10 
<p>A teacher starts her job at a high school but is haunted by a suspicious death that occurred there weeks before... and begins fearing for her own life.</p>
<p>A series of murders alarm the police authorities, as strange symbolisms are traced to every crime scene. The eccentric professor of criminology Dimitris Lainis is asked to shed some light on the mystery. </p>
Other values (53)
74 

Length

Max length1360
Median length767
Mean length320.9312977
Min length3

Characters and Unicode

Total characters42042
Distinct characters89
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)29.8%

Sample

1st row<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>
2nd row<p><b>Plague</b> – a Comedy project about how hard it is to survive in the middle ages during the plague. This is a story about the residents of the fictional town of Hamburg, locked in a castle under quarantine. Also locked up in the castle is the Messenger William, who, in fact, brought the news of the plague.</p>
3rd row<p>Lytk-Angeles, the state of Moskvachussets, has always been a quiet town where every gang had its rightful place. The Colombians smoked plantain, the Irish sipped beer, and the Chinese ate noodles. But one day the evil Russian Communists came and brought sugar with them. They slaughtered all the street vendors of plantain, seized control of the production of matryoshka dolls (a traditional Yugoslav business) and got the whole city hooked on white powder.</p><p>This will be the last case for Eustace Lynch. Famous for his lucky tattoo, an Irish gangster comes to Lytk-Angeles from Dublin (also known as Dubna) to get rid of the Communists. At the same time, Sally Raptor, a police officer from palm beach (also known as Gelendzhik) arrives in the city with a similar task.</p><p>Zakon i Besporyadok is a parody of the films of the 80s and 90s that we watched on videotapes with one-voice voice-over as a child, and a tribute to that forever-gone era when the screen belonged entirely to evil Russians, Asian martial artists and drinking detectives in ridiculous hats. Each episode parodies one of your favorite genres: the characters don't change, but they end up in an Asian fighting game, a crime Thriller, or even a neo-noir story.</p>
4th rownan
5th row<p>Buy UCO from childhood grew up in the clan, Ichigo, but their "care" was for him a living Hell. Constant bullying, stealing the Goodies, without which Ycu can not live, and even eternal persecution, from the fair sex turned him into a goner cheapskate who wants to take revenge on his tormentors. But revenge is sweet and the path to it is thorny and to accomplish, UCU need to marry a girl Yes, as soon as possible. But when the heroes just happen? Never! And meeting with the small and the big-eared Fox Susan su su did not just destroy his plans, but starts spinning the wheel of fate that was waiting in the wings for hundreds of years!</p>

Common Values

ValueCountFrequency (%)
<p>Sufiyaan and Imtiaz are like brothers, and together they run one of the biggest media houses in Manali. But what will happen when they both fall for the same woman- Kainaat? And whom will she choose - a good friend or a bebaak lover?</p>16
 
12.2%
nan15
 
11.5%
<p>A group of teen girls from different backgrounds must fight for survival after a plane crash strands them on a deserted island. The castaways both clash and bond as they learn more about each other, the secrets they keep, and the traumas they've all endured. There's just one twist to this thrilling Drama - Coming of Age … these girls did not end up on this island by accident.</p>10
 
7.6%
<p>A teacher starts her job at a high school but is haunted by a suspicious death that occurred there weeks before... and begins fearing for her own life.</p>8
 
6.1%
<p>A series of murders alarm the police authorities, as strange symbolisms are traced to every crime scene. The eccentric professor of criminology Dimitris Lainis is asked to shed some light on the mystery. </p>8
 
6.1%
<p>Join Emily Elizabeth and her big red dog, Clifford, as they explore their island home and go on big new adventures! With a fun and furry new cast of characters and brand-new original songs, Clifford's world, and heart, just keep on growing!</p>7
 
5.3%
<p>Two boggling mysteries have occured in a small town in Xinan. A female police captain joins hands with a young detective to conduct an investigation. Although a clear motive can be seen, the two discover a series of unknown secrets.</p><p>One case involves a late-night ride hailed through an online platform that goes terribly wrong. As more and more clues resurface, the cases in the hands of the police hands become complicated and entangled. In a desperate attempt to find the real culprit, events closely link the past, present and future of the small town.</p>4
 
3.1%
<p>A young cartoonist intentionally gets near Ji Yan Xin, a cold and arrogant professor. Qi Nian, a girl with a straightforward personality hopes that interacting with Ji Yan Xin would give her inspiration and creative materials for her comic plot. Coincidentally Ji Yan Xin's younger brother Ji Si Qi becomes Qi Nian's assistant and a catalyst for their relationship to progress and blossom.</p>2
 
1.5%
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>2
 
1.5%
<p>This family series revolves around the two friends Lasse and Maja who run a detective agency together in the small town of Valleby. They investigate all possible mysteries and contribute crucial pieces to the police chief, played by Anders Jansson.</p>2
 
1.5%
Other values (48)57
43.5%

Length

2022-05-09T21:08:53.111242image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the400
 
5.5%
and292
 
4.0%
a247
 
3.4%
of213
 
2.9%
to150
 
2.1%
in117
 
1.6%
they97
 
1.3%
on73
 
1.0%
for67
 
0.9%
as62
 
0.9%
Other values (1571)5518
76.3%

Most occurring characters

ValueCountFrequency (%)
7085
16.9%
e3869
 
9.2%
a2667
 
6.3%
t2642
 
6.3%
o2490
 
5.9%
n2388
 
5.7%
i2200
 
5.2%
s2113
 
5.0%
r1956
 
4.7%
h1814
 
4.3%
Other values (79)12818
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter31976
76.1%
Space Separator7110
 
16.9%
Other Punctuation1090
 
2.6%
Uppercase Letter1024
 
2.4%
Math Symbol653
 
1.6%
Dash Punctuation105
 
0.2%
Decimal Number37
 
0.1%
Format24
 
0.1%
Open Punctuation11
 
< 0.1%
Close Punctuation11
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e3869
12.1%
a2667
 
8.3%
t2642
 
8.3%
o2490
 
7.8%
n2388
 
7.5%
i2200
 
6.9%
s2113
 
6.6%
r1956
 
6.1%
h1814
 
5.7%
l1330
 
4.2%
Other values (19)8507
26.6%
Uppercase Letter
ValueCountFrequency (%)
A119
 
11.6%
S110
 
10.7%
T103
 
10.1%
C70
 
6.8%
I60
 
5.9%
M59
 
5.8%
L51
 
5.0%
B45
 
4.4%
W42
 
4.1%
D34
 
3.3%
Other values (17)331
32.3%
Other Punctuation
ValueCountFrequency (%)
,363
33.3%
.335
30.7%
/171
15.7%
'87
 
8.0%
?40
 
3.7%
"36
 
3.3%
!32
 
2.9%
10
 
0.9%
:9
 
0.8%
;6
 
0.6%
Decimal Number
ValueCountFrequency (%)
19
24.3%
07
18.9%
24
10.8%
74
10.8%
94
10.8%
33
 
8.1%
83
 
8.1%
41
 
2.7%
51
 
2.7%
61
 
2.7%
Math Symbol
ValueCountFrequency (%)
>326
49.9%
<326
49.9%
+1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
-97
92.4%
7
 
6.7%
1
 
1.0%
Space Separator
ValueCountFrequency (%)
7085
99.6%
 25
 
0.4%
Format
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
(11
100.0%
Close Punctuation
ValueCountFrequency (%)
)11
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin33000
78.5%
Common9042
 
21.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e3869
11.7%
a2667
 
8.1%
t2642
 
8.0%
o2490
 
7.5%
n2388
 
7.2%
i2200
 
6.7%
s2113
 
6.4%
r1956
 
5.9%
h1814
 
5.5%
l1330
 
4.0%
Other values (46)9531
28.9%
Common
ValueCountFrequency (%)
7085
78.4%
,363
 
4.0%
.335
 
3.7%
>326
 
3.6%
<326
 
3.6%
/171
 
1.9%
-97
 
1.1%
'87
 
1.0%
?40
 
0.4%
"36
 
0.4%
Other values (23)176
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII41966
99.8%
Punctuation43
 
0.1%
None33
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7085
16.9%
e3869
 
9.2%
a2667
 
6.4%
t2642
 
6.3%
o2490
 
5.9%
n2388
 
5.7%
i2200
 
5.2%
s2113
 
5.0%
r1956
 
4.7%
h1814
 
4.3%
Other values (69)12742
30.4%
None
ValueCountFrequency (%)
 25
75.8%
Í3
 
9.1%
ä2
 
6.1%
ø2
 
6.1%
á1
 
3.0%
Punctuation
ValueCountFrequency (%)
24
55.8%
10
23.3%
7
 
16.3%
1
 
2.3%
1
 
2.3%

_embedded_show_updated
Real number (ℝ≥0)

HIGH CORRELATION

Distinct65
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1627184433
Minimum1604587145
Maximum1651982929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:08:53.598366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1604587145
5-th percentile1608791658
Q11612949320
median1621921363
Q31645688702
95-th percentile1651982929
Maximum1651982929
Range47395784
Interquartile range (IQR)32739382.5

Descriptive statistics

Standard deviation16369013.62
Coefficient of variation (CV)0.01005971621
Kurtosis-1.529541574
Mean1627184433
Median Absolute Deviation (MAD)12452960
Skewness0.3923871948
Sum2.131611607 × 1011
Variance2.679446069 × 1014
MonotonicityNot monotonic
2022-05-09T21:08:53.911163image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161294932016
 
12.2%
165198292910
 
7.6%
16092088758
 
6.1%
16170654148
 
6.1%
16219213638
 
6.1%
16173094777
 
5.3%
16080333034
 
3.1%
16482170292
 
1.5%
16491780842
 
1.5%
16219269062
 
1.5%
Other values (55)64
48.9%
ValueCountFrequency (%)
16045871451
 
0.8%
16078155701
 
0.8%
16080333034
3.1%
16084019621
 
0.8%
16091813541
 
0.8%
16092088758
6.1%
16094684031
 
0.8%
16095364481
 
0.8%
16096716402
 
1.5%
16099236481
 
0.8%
ValueCountFrequency (%)
165198292910
7.6%
16519392261
 
0.8%
16519332091
 
0.8%
16512333871
 
0.8%
16511816551
 
0.8%
16509836761
 
0.8%
16505526741
 
0.8%
16505490022
 
1.5%
16503092011
 
0.8%
16493668341
 
0.8%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://api.tvmaze.com/episodes/1977902
 
1
https://api.tvmaze.com/episodes/2001669
 
1
https://api.tvmaze.com/episodes/2001667
 
1
https://api.tvmaze.com/episodes/2001666
 
1
https://api.tvmaze.com/episodes/2001665
 
1
Other values (126)
126 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters5109
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.8%
https://api.tvmaze.com/episodes/20016691
 
0.8%
https://api.tvmaze.com/episodes/20016671
 
0.8%
https://api.tvmaze.com/episodes/20016661
 
0.8%
https://api.tvmaze.com/episodes/20016651
 
0.8%
https://api.tvmaze.com/episodes/20000731
 
0.8%
https://api.tvmaze.com/episodes/20000721
 
0.8%
https://api.tvmaze.com/episodes/19975381
 
0.8%
https://api.tvmaze.com/episodes/19975371
 
0.8%
https://api.tvmaze.com/episodes/19884051
 
0.8%
Other values (121)121
92.4%

Length

2022-05-09T21:08:54.134158image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.8%
https://api.tvmaze.com/episodes/23122251
 
0.8%
https://api.tvmaze.com/episodes/19640001
 
0.8%
https://api.tvmaze.com/episodes/19954051
 
0.8%
https://api.tvmaze.com/episodes/20077601
 
0.8%
https://api.tvmaze.com/episodes/19857891
 
0.8%
https://api.tvmaze.com/episodes/20396221
 
0.8%
https://api.tvmaze.com/episodes/20396231
 
0.8%
https://api.tvmaze.com/episodes/23244271
 
0.8%
https://api.tvmaze.com/episodes/23244281
 
0.8%
Other values (121)121
92.4%

Most occurring characters

ValueCountFrequency (%)
/524
 
10.3%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
t393
 
7.7%
o262
 
5.1%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
Other values (16)1703
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3275
64.1%
Other Punctuation917
 
17.9%
Decimal Number917
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p393
12.0%
s393
12.0%
e393
12.0%
t393
12.0%
o262
8.0%
a262
8.0%
i262
8.0%
m262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%
Decimal Number
ValueCountFrequency (%)
2142
15.5%
9141
15.4%
0124
13.5%
1111
12.1%
378
8.5%
674
8.1%
871
7.7%
461
6.7%
760
6.5%
555
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/524
57.1%
.262
28.6%
:131
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin3275
64.1%
Common1834
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/524
28.6%
.262
14.3%
2142
 
7.7%
9141
 
7.7%
:131
 
7.1%
0124
 
6.8%
1111
 
6.1%
378
 
4.3%
674
 
4.0%
871
 
3.9%
Other values (3)176
 
9.6%
Latin
ValueCountFrequency (%)
p393
12.0%
s393
12.0%
e393
12.0%
t393
12.0%
o262
8.0%
a262
8.0%
i262
8.0%
m262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/524
 
10.3%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
t393
 
7.7%
o262
 
5.1%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
Other values (16)1703
33.3%

Interactions

2022-05-09T21:08:39.800533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:46.122194image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:00.779372image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:08.872615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:16.499380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:21.314356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:30.837682image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:33.328329image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:36.645945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:41.310093image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:48.712829image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:04.973520image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:12.673994image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:19.340292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:23.474575image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:31.944624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:34.810895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:38.208938image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:41.439838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:49.532764image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:05.292119image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:12.959189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:19.501763image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:24.318741image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:32.105484image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:34.964418image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:38.338209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:41.565703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:50.305166image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:05.626665image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:13.279515image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:19.650631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:25.224613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:32.276050image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:35.102447image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:38.510460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:41.719997image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:51.458446image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:05.895551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:13.551704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:19.798536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:25.998830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:32.420449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:35.427488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:38.631332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:42.599318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:53.247773image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:07.601134image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:15.193644image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:20.744067image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:28.419910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:32.809348image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:36.098282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:39.217048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:42.749806image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:54.493577image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:07.846409image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:15.433343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:20.897923image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:28.890069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:32.929704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:36.225482image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:39.324548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:42.853070image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:56.231138image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:08.160370image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:15.728521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:21.018973image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:29.681414image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:33.040022image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:36.407594image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:39.489815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:42.989495image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:07:58.931746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:08.595252image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:15.992028image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:21.146544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:30.246312image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:33.168590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:36.516069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:08:39.647924image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-09T21:08:54.280711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T21:08:54.573986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T21:08:54.896209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T21:08:55.315959image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-09T21:08:55.856161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-09T21:08:43.314500image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-09T21:08:44.550983image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-09T21:08:44.817254image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-09T21:08:45.019224image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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01968113https://www.tvmaze.com/episodes/1968113/po-sezonu-videodajdzest-seasonvar-6x50-vypusk-304Выпуск 3046.050.0regular2020-12-11nan2020-12-11T00:00:00+00:009.0Nonenan7847https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvarПо сезону. Видеодайджест SeasonvarTalk ShowRussian[]Running9.09.02015-02-13nanhttp://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html28.0nan<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>1.651182e+09https://api.tvmaze.com/episodes/1977902
11961004https://www.tvmaze.com/episodes/1961004/cuma-2x07-seria-13Серия 132.07.0regular2020-12-11nan2020-12-11T00:00:00+00:0022.0Nonenan48402https://www.tvmaze.com/shows/48402/cumaЧума!ScriptedRussian['Comedy']Ended21.021.02020-05-292020-12-18https://www.ivi.ru/watch/chuma-202030.0nan<p><b>Plague</b> – a Comedy project about how hard it is to survive in the middle ages during the plague. This is a story about the residents of the fictional town of Hamburg, locked in a castle under quarantine. Also locked up in the castle is the Messenger William, who, in fact, brought the news of the plague.</p>1.609468e+09https://api.tvmaze.com/episodes/2015818
21976572https://www.tvmaze.com/episodes/1976572/zakon-i-besporyadok-1x05-seria-5Серия 51.05.0regular2020-12-1112:002020-12-11T00:00:00+00:0030.0Nonenan52118https://www.tvmaze.com/shows/52118/zakon-i-besporyadokZakon i BesporyadokScriptedRussian['Comedy', 'Action', 'Crime']Ended30.030.02020-11-272020-12-11https://www.ivi.ru/watch/zakon-i-besporyadok3.0nan<p>Lytk-Angeles, the state of Moskvachussets, has always been a quiet town where every gang had its rightful place. The Colombians smoked plantain, the Irish sipped beer, and the Chinese ate noodles. But one day the evil Russian Communists came and brought sugar with them. They slaughtered all the street vendors of plantain, seized control of the production of matryoshka dolls (a traditional Yugoslav business) and got the whole city hooked on white powder.</p><p>This will be the last case for Eustace Lynch. Famous for his lucky tattoo, an Irish gangster comes to Lytk-Angeles from Dublin (also known as Dubna) to get rid of the Communists. At the same time, Sally Raptor, a police officer from palm beach (also known as Gelendzhik) arrives in the city with a similar task.</p><p>Zakon i Besporyadok is a parody of the films of the 80s and 90s that we watched on videotapes with one-voice voice-over as a child, and a tribute to that forever-gone era when the screen belonged entirely to evil Russians, Asian martial artists and drinking detectives in ridiculous hats. Each episode parodies one of your favorite genres: the characters don't change, but they end up in an Asian fighting game, a crime Thriller, or even a neo-noir story.</p>1.616038e+09https://api.tvmaze.com/episodes/1964000
31986873https://www.tvmaze.com/episodes/1986873/kotiki-1x10-seria-10Серия 101.010.0regular2020-12-11nan2020-12-11T00:00:00+00:0012.0Nonenan52198https://www.tvmaze.com/shows/52198/kotikiКотикиScriptedRussian['Comedy']Ended12.012.02020-11-302020-12-11http://epic-media.ru/project/kotiki15.0nannan1.637555e+09https://api.tvmaze.com/episodes/1995405
42030151https://www.tvmaze.com/episodes/2030151/fox-spirit-matchmaker-9x01-episode-122Episode 1229.01.0regular2020-12-11nan2020-12-11T04:00:00+00:0010.0Nonenan20734https://www.tvmaze.com/shows/20734/fox-spirit-matchmakerFox Spirit MatchmakerAnimationChinese['Comedy', 'Anime', 'Fantasy', 'Romance']Running10.010.02015-06-26nanhttp://www.bilibili.com/bangumi/%E7%8B%90%E5%A6%96%E5%B0%8F%E7%BA%A2%E5%A8%98/64.0nan<p>Buy UCO from childhood grew up in the clan, Ichigo, but their "care" was for him a living Hell. Constant bullying, stealing the Goodies, without which Ycu can not live, and even eternal persecution, from the fair sex turned him into a goner cheapskate who wants to take revenge on his tormentors. But revenge is sweet and the path to it is thorny and to accomplish, UCU need to marry a girl Yes, as soon as possible. But when the heroes just happen? Never! And meeting with the small and the big-eared Fox Susan su su did not just destroy his plans, but starts spinning the wheel of fate that was waiting in the wings for hundreds of years!</p>1.629636e+09https://api.tvmaze.com/episodes/2007760
52030152https://www.tvmaze.com/episodes/2030152/fox-spirit-matchmaker-9x02-episode-123Episode 1239.02.0regular2020-12-11nan2020-12-11T04:00:00+00:0010.0Nonenan20734https://www.tvmaze.com/shows/20734/fox-spirit-matchmakerFox Spirit MatchmakerAnimationChinese['Comedy', 'Anime', 'Fantasy', 'Romance']Running10.010.02015-06-26nanhttp://www.bilibili.com/bangumi/%E7%8B%90%E5%A6%96%E5%B0%8F%E7%BA%A2%E5%A8%98/64.0nan<p>Buy UCO from childhood grew up in the clan, Ichigo, but their "care" was for him a living Hell. Constant bullying, stealing the Goodies, without which Ycu can not live, and even eternal persecution, from the fair sex turned him into a goner cheapskate who wants to take revenge on his tormentors. But revenge is sweet and the path to it is thorny and to accomplish, UCU need to marry a girl Yes, as soon as possible. But when the heroes just happen? Never! And meeting with the small and the big-eared Fox Susan su su did not just destroy his plans, but starts spinning the wheel of fate that was waiting in the wings for hundreds of years!</p>1.629636e+09https://api.tvmaze.com/episodes/1985789
61972563https://www.tvmaze.com/episodes/1972563/the-wolf-1x21-episode-21Episode 211.021.0regular2020-12-11nan2020-12-11T04:00:00+00:0045.0Nonenan47912https://www.tvmaze.com/shows/47912/the-wolfThe WolfScriptedChinese['Drama', 'Romance', 'History']Ended45.045.02020-11-192021-01-04https://www.iqiyi.com/lib/m_213579814.html39.0nan<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>1.648217e+09https://api.tvmaze.com/episodes/2039622
71972564https://www.tvmaze.com/episodes/1972564/the-wolf-1x22-episode-22Episode 221.022.0regular2020-12-11nan2020-12-11T04:00:00+00:0045.0Nonenan47912https://www.tvmaze.com/shows/47912/the-wolfThe WolfScriptedChinese['Drama', 'Romance', 'History']Ended45.045.02020-11-192021-01-04https://www.iqiyi.com/lib/m_213579814.html39.0nan<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>1.648217e+09https://api.tvmaze.com/episodes/2039623
81910447https://www.tvmaze.com/episodes/1910447/the-founder-of-diabolism-q-1x21-a-tutorialA Tutorial1.021.0regular2020-12-11nan2020-12-11T04:00:00+00:005.0Nonenan49485https://www.tvmaze.com/shows/49485/the-founder-of-diabolism-qThe Founder of Diabolism QAnimationChinese['Comedy', 'Anime', 'History', 'Supernatural']Ended5.05.02020-07-312021-02-12https://v.qq.com/detail/m/mzc00200fdthd81.html60.0nan<p>The chibi spin-off takes place during the three periods of Wei Wuxian's life (adolescence, adulthood, and rebirth after death), selecting the cute, warm, and healing parts as the main contents. This series hopes to heal the audience who loves the main story of <i>Mo Dao Zu Shi</i>, but were "injured" by the melancholy plot of the drama.</p>1.621019e+09https://api.tvmaze.com/episodes/2324427
91998576https://www.tvmaze.com/episodes/1998576/mr-right-is-here-1x05-episode-5Episode 51.05.0regular2020-12-11nan2020-12-11T04:00:00+00:0045.0Nonenan52782https://www.tvmaze.com/shows/52782/mr-right-is-hereMr. Right is Here!ScriptedChinese['Drama', 'Comedy', 'Romance']Ended45.045.02020-12-102020-12-18nan15.0nan<p>‎The fashion company faced a crisis. Sun Chi, the young owner of the company, at a critical moment took over the management and became the new CEO. He promised his father that in three months he would be able to promote the project "promoting fashion" that will help to get out of the crisis. ‎ </p><p>‎Gio Intao, who wanted to be the queen of the fashion industry, by coincidence got into the company and became subordinate to the "devil", a young gene. Director Sun Chi.‎   </p><p>‎Sun Chi and Xiao Intao led a fashion company to resolve the crisis and open new markets, allowing Chinese fashion brands to enter the global market step by step. At the same time, they begin to feel each other.‎</p>1.609672e+09https://api.tvmaze.com/episodes/2324428

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
1211985468https://www.tvmaze.com/episodes/1985468/you-complete-me-1x12-episode-12Episode 121.012.0regular2020-12-1120:002020-12-11T12:00:00+00:0045.0Nonenan52421https://www.tvmaze.com/shows/52421/you-complete-meYou Complete MeScriptedChinese['Drama', 'Romance']Ended45.045.02020-12-022021-01-14nan18.0nan<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>1.619633e+09https://api.tvmaze.com/episodes/2234297
1221986151https://www.tvmaze.com/episodes/1986151/the-burning-river-1x01-episode-1Episode 11.01.0regular2020-12-1120:002020-12-11T12:00:00+00:0045.0Nonenan52451https://www.tvmaze.com/shows/52451/the-burning-riverThe Burning RiverScriptedChinese['Drama', 'Action', 'Thriller']Running45.045.02020-12-11nanhttps://v.youku.com/v_show/id_XNDk1MzY2NzgwNA==.html?spm=a2h0c.8166622.PhoneSokuProgram_1.dtitle&s=aaed627feea749d7a99d24.0nan<p>Two boggling mysteries have occured in a small town in Xinan. A female police captain joins hands with a young detective to conduct an investigation. Although a clear motive can be seen, the two discover a series of unknown secrets.</p><p>One case involves a late-night ride hailed through an online platform that goes terribly wrong. As more and more clues resurface, the cases in the hands of the police hands become complicated and entangled. In a desperate attempt to find the real culprit, events closely link the past, present and future of the small town.</p>1.608033e+09https://api.tvmaze.com/episodes/2236494
1231986152https://www.tvmaze.com/episodes/1986152/the-burning-river-1x02-episode-2Episode 21.02.0regular2020-12-1120:002020-12-11T12:00:00+00:0045.0Nonenan52451https://www.tvmaze.com/shows/52451/the-burning-riverThe Burning RiverScriptedChinese['Drama', 'Action', 'Thriller']Running45.045.02020-12-11nanhttps://v.youku.com/v_show/id_XNDk1MzY2NzgwNA==.html?spm=a2h0c.8166622.PhoneSokuProgram_1.dtitle&s=aaed627feea749d7a99d24.0nan<p>Two boggling mysteries have occured in a small town in Xinan. A female police captain joins hands with a young detective to conduct an investigation. Although a clear motive can be seen, the two discover a series of unknown secrets.</p><p>One case involves a late-night ride hailed through an online platform that goes terribly wrong. As more and more clues resurface, the cases in the hands of the police hands become complicated and entangled. In a desperate attempt to find the real culprit, events closely link the past, present and future of the small town.</p>1.608033e+09https://api.tvmaze.com/episodes/1977423
1241986153https://www.tvmaze.com/episodes/1986153/the-burning-river-1x03-episode-3Episode 31.03.0regular2020-12-1120:002020-12-11T12:00:00+00:0045.0Nonenan52451https://www.tvmaze.com/shows/52451/the-burning-riverThe Burning RiverScriptedChinese['Drama', 'Action', 'Thriller']Running45.045.02020-12-11nanhttps://v.youku.com/v_show/id_XNDk1MzY2NzgwNA==.html?spm=a2h0c.8166622.PhoneSokuProgram_1.dtitle&s=aaed627feea749d7a99d24.0nan<p>Two boggling mysteries have occured in a small town in Xinan. A female police captain joins hands with a young detective to conduct an investigation. Although a clear motive can be seen, the two discover a series of unknown secrets.</p><p>One case involves a late-night ride hailed through an online platform that goes terribly wrong. As more and more clues resurface, the cases in the hands of the police hands become complicated and entangled. In a desperate attempt to find the real culprit, events closely link the past, present and future of the small town.</p>1.608033e+09https://api.tvmaze.com/episodes/1976649
1251986154https://www.tvmaze.com/episodes/1986154/the-burning-river-1x04-episode-4Episode 41.04.0regular2020-12-1120:002020-12-11T12:00:00+00:0045.0Nonenan52451https://www.tvmaze.com/shows/52451/the-burning-riverThe Burning RiverScriptedChinese['Drama', 'Action', 'Thriller']Running45.045.02020-12-11nanhttps://v.youku.com/v_show/id_XNDk1MzY2NzgwNA==.html?spm=a2h0c.8166622.PhoneSokuProgram_1.dtitle&s=aaed627feea749d7a99d24.0nan<p>Two boggling mysteries have occured in a small town in Xinan. A female police captain joins hands with a young detective to conduct an investigation. Although a clear motive can be seen, the two discover a series of unknown secrets.</p><p>One case involves a late-night ride hailed through an online platform that goes terribly wrong. As more and more clues resurface, the cases in the hands of the police hands become complicated and entangled. In a desperate attempt to find the real culprit, events closely link the past, present and future of the small town.</p>1.608033e+09https://api.tvmaze.com/episodes/2005096
1261987979https://www.tvmaze.com/episodes/1987979/beyond-the-clouds-1x02-meet-the-sobiechsMeet the Sobiechs1.02.0regular2020-12-11nan2020-12-11T12:00:00+00:00NaNNone<p>Intercut with footage from their auditions, we meet Fin, Sabrina, Madison, Neve, and Tom as Justin sends the cast to meet their real-life counterparts in Minnesota and New York City. The group bonds over their love of Zach, and the actors discover inspiration to bring their roles to life.</p><p> </p><p> </p>52519https://www.tvmaze.com/shows/52519/beyond-the-cloudsBeyond the CloudsDocumentaryEnglish[]RunningNaNNaN2020-12-04nannan40.0nan<p><b>Beyond the Clouds</b> takes an exclusive look inside the production and inspiration behind the Disney+ original movie <i>The Clouds</i>.</p>1.650553e+09https://api.tvmaze.com/episodes/2005098
1272000056https://www.tvmaze.com/episodes/2000056/ultimate-note-1x09-episode-9Episode 91.09.0regular2020-12-11nan2020-12-11T12:00:00+00:0045.0Nonenan52806https://www.tvmaze.com/shows/52806/ultimate-noteUltimate NoteScriptedChinese['Drama', 'Comedy', 'Adventure']Ended45.045.02020-12-102021-01-02https://www.iqiyi.com/a_nvzsmw0tgx.html54.0nan<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>1.649178e+09https://api.tvmaze.com/episodes/2005099
1282000057https://www.tvmaze.com/episodes/2000057/ultimate-note-1x10-episode-10Episode 101.010.0regular2020-12-11nan2020-12-11T12:00:00+00:0045.0Nonenan52806https://www.tvmaze.com/shows/52806/ultimate-noteUltimate NoteScriptedChinese['Drama', 'Comedy', 'Adventure']Ended45.045.02020-12-102021-01-02https://www.iqiyi.com/a_nvzsmw0tgx.html54.0nan<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>1.649178e+09https://api.tvmaze.com/episodes/2005100
1292188584https://www.tvmaze.com/episodes/2188584/kids-teaching-idol-s01-special-pansori-behindPansori Behind1.0NaNinsignificant_special2020-12-11nan2020-12-11T12:00:00+00:008.0Nonenan54112https://www.tvmaze.com/shows/54112/kids-teaching-idolKids Teaching IdolVarietyKorean['Comedy', 'Children', 'Music']Ended15.016.02020-11-242020-12-04https://www.youtube.com/playlist?list=PL6NUNGdv0v-H_oolkfXq_QQunR26qgNO115.0nan<p>‘Personal Talent LEVEL UP' is a project by the K-Pop group ATEEZ, who will learn knew things from child prodigies. <br /> </p>1.633629e+09https://api.tvmaze.com/episodes/2005101
1302051982https://www.tvmaze.com/episodes/2051982/pro-balet-s-nikolaem-ciskaridze-1x29-nikolaj-ciskaridze-pro-balet-vypusk22-spasaa-krasavica-russkaa-versia-pro-ballet-part22-sleepingbНиколай Цискаридзе-PRO-БАЛЕТ-выпуск#22-СПЯЩАЯ КРАСАВИЦА-русская версия-PRO-BALLET-part#22-SleepingB1.029.0regular2020-12-11nan2020-12-11T12:00:00+00:0025.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/301/752601.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/301/752601.jpg'}nan54218https://www.tvmaze.com/shows/54218/pro-balet-s-nikolaem-ciskaridzePRO-БАЛЕТ с Николаем ЦискаридзеDocumentaryRussian['Music', 'History']RunningNaN25.02020-06-19nanhttps://www.youtube.com/playlist?list=PL2XUMApWu-GjxRfNPr_0Iz-WQmAKPprfa15.0{'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}<p>Programs about ballet with Nikolai Tsiskaridze.</p>1.618049e+09https://api.tvmaze.com/episodes/2005102